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ADV611JSTZ

hot ADV611JSTZ

ADV611JSTZ

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Part Number ADV611JSTZ
Manufacturer Analog Devices Inc.
Description IC CCTV DGTL VIDEO CODEC 120LQFP
Datasheet ADV611JSTZ Datasheet
Package 120-LQFP
In Stock 6402 piece(s)
Unit Price $ 62.93 *
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ADV611JSTZ Specifications

ManufacturerAnalog Devices Inc.
CategoryIntegrated Circuits (ICs) - Interface - CODECs
Datasheet ADV611JSTZ Datasheet
Package120-LQFP
Series-
TypeVideo
Data InterfaceSerial
Resolution (Bits)8 b
Sigma DeltaNo
Voltage - Supply, Digital4.5 V ~ 5.5 V
Operating Temperature0°C ~ 70°C
Mounting TypeSurface Mount
Package / Case120-LQFP
Supplier Device Package120-LQFP (14x14)

ADV611JSTZ Datasheet

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REV. 0 Information furnished by Analog Devices is believed to be accurate and reliable. However, no responsibility is assumed by Analog Devices for its use, nor for any infringements of patents or other rights of third parties which may result from its use. No license is granted by implication or otherwise under any patent or patent rights of Analog Devices. a ADV611/ADV612 One Technology Way, P.O. Box 9106, Norwood, MA 02062-9106, U.S.A. Tel: 781/329-4700 World Wide Web Site: http://www.analog.com Fax: 781/326-8703 © Analog Devices, Inc., 1999 Closed Circuit TV Digital Video Codec FUNCTIONAL BLOCK DIAGRAM QUANTIZER & ENTROPY CODING HOST I/O PORT & FIFO HOST ADV611/ ADV612 256K 3 16-BIT DRAM COMPONENT VIDEO I/O BIN WIDTH CONTROL LOCATION, SIZE AND CONTRAST CONTROL SUBBAND STATISTICS 8 16/32DIGITAL VIDEO I/O PORT WAVELET FILTERS, DECIMATOR & INTERPOLATOR QUALITY BOX CONTROL ON-CHIP TRANSFORM BUFFER DRAM MANAGER FEATURES Programmable “Quality Box” Industrial Temperature Range (ADV612) Hardware Frame Rate Reduction 100% Bitstream Compatible with the ADV601 and ADV601LC Precise Compressed Bit Rate Control Field Independent Compression 8-Bit Video Interface Supports CCIR-656 and Multi- plexed Philips Formats General Purpose 16- or 32-Bit Host Interface with 512 Deep 32-Bit FIFO PERFORMANCE Real-Time Compression or Decompression of CCIR-601 to Video: 720 3 288 @ 50 Fields/Sec — PAL 720 3 243 @ 60 Fields/Sec — NTSC Compression Ratios from Visually Loss-Less to 7500:1 Visually Loss-Less Compression At 4:1 on Natural Images (Typical) APPLICATIONS CCTV Cameras and Systems Time-Lapse Video Tape Recorders Time-Lapse Video Disk Recorders Wireless CCTV Cameras Fiber CCTV Systems GENERAL DESCRIPTION The ADV611/ADV612 are low cost, single chip, dedicated func- tion, all-digital-CMOS-VLSI devices capable of supporting visually loss-less to 7500:1 real-time compression and decom- pression of CCIR-601 digital video at very high image quality levels. The chips integrate glueless video and host interfaces with on-chip SRAM to permit low part count, system level implementations suitable for a broad range of applications. The ADV611/ADV612 are 100% bitstream compatible with the ADV601. The ADV611/ADV612 comes in a 120-lead LQFP package. The ADV611/ADV612 are video encoders/decoders optimized for closed circuit TV (CCTV) applications. With the ADV611/ ADV612, you can define a portion of each video field to be at a higher quality level relative to the rest of the field. This “quality box” feature significantly increases compression of less impor- tant background details, while retaining the image’s overall context. Additionally, the unique subband coding architecture of the ADV611/ADV612 offer many application-specific advantages. A review of the General Theory of Operation and Applying the ADV611/ADV612 sections will help you get the most use out of the ADV611/ADV612 in any given application. The ADV611/ADV612 accept component digital video through the Video Interface and outputs a compressed bitstream though the Host Interface in Encode Mode. While in Decode Mode, the ADV611/ADV612 accept compressed bitstream through the Host Interface and outputs component digital video through the Video Interface. The host accesses all of the ADV611/ADV612’s control and status registers using the Host Interface. Figure 2 summarizes the basic function of the part. (continued on page 2) ADV7185 DECODER ADV611/ ADV612 ADSP-21xx ANALOG VIDEO SIGNAL IMAGE SENSOR SIGNAL OR QUALITY BOX CONTROLS FROM REMOTE SITE SERIAL OR PARALLEL BITSTREAM FOR TRANSMISSION OR STORAGE DIGITIZER Figure 1. Typical Application

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ADV611/ADV612 –2– REV. 0 TABLE OF CONTENTS This data sheet gives an overview of the ADV611/ADV612’s functionality and provides details on designing the part into a system. The text of the data sheet is written for an audience with a general knowledge of designing digital video systems. Where appropriate, additional sources of reference material are noted throughout the data sheet. GENERAL DESCRIPTION . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 COMPARING THE ADV6xx FAMILY VIDEO CODECS . . . . . 3 INTERNAL ARCHITECTURE . . . . . . . . . . . . . . . . . . . . . . . . 4 GENERAL THEORY OF OPERATION . . . . . . . . . . . . . . . . . . 4 References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 THE WAVELET KERNEL . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 THE PROGRAMMABLE QUANTIZER . . . . . . . . . . . . . . . . . 8 THE RUN LENGTH CODER AND HUFFMAN CODER . . . . . 9 Encoding vs. Decoding . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 PROGRAMMER’S MODEL . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 ADV611/ADV612 REGISTER DESCRIPTIONS . . . . . . . . . . 11 VIDEO AREA REGISTERS . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 PIN FUNCTION DESCRIPTIONS . . . . . . . . . . . . . . . . . . . . 18 Video Interface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 Video Formats–CCIR-656 . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 Host Interface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 DRAM Manager . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 Compressed Data-Stream Definition . . . . . . . . . . . . . . . . . . . 24 APPLYING THE ADV611/ADV612 . . . . . . . . . . . . . . . . . . . . 30 Using the ADV611/ADV612 in Computer Applications . . . . . . 30 Using the ADV611/ADV612 in Stand-Alone Applications . . . . 31 Connecting the ADV611/ADV612 to Popular Video Decoders and Encoders . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31 GETTING THE MOST OUT OF ADV611/ADV612 . . . . . . . 32 How Much Compression Can Be Expected . . . . . . . . . . . . . . 32 Evaluation Board . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32 Software Codec . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32 Field Rate Reduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32 Edge Enhancement and Detection . . . . . . . . . . . . . . . . . . . . . 32 Motion Detection . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32 ADV611/ADV612 SPECIFICATIONS . . . . . . . . . . . . . . . . . . 33 TEST CONDITIONS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34 TIMING PARAMETERS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34 Clock Signal Timing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34 CCIR-656 Video Format Timing . . . . . . . . . . . . . . . . . . . . . . 35 Multiplexed Philips Video Timing . . . . . . . . . . . . . . . . . . . . . 37 Host Interface (Indirect Address, Indirect Register Data, and Interrupt Mask/Status) Register Timing . . . . . . . . . . . 40 Host Interface (Compressed Data) Register Timing . . . . . . . 42 ADV611/ADV612 LQFP PINOUTS . . . . . . . . . . . . . . . . . . . . 44 ADV611/ADV612 PIN CONFIGURATION . . . . . . . . . . . . . . 45 OUTLINE DIMENSIONS . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46 ORDERING GUIDE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46 GENERAL DESCRIPTION (Continued from page 1) ADV611/ ADV612 VIDEO CODEC CCTV DIGITAL VIDEO INTERFACE HOST INTERFACE DIGITAL VIDEO IN (ENCODE) DIGITAL VIDEO OUT (DECODE) COMPRESSED VIDEO OUT (ENCODE) COMPRESSED VIDEO IN (DECODE) STATUS AND CONTROL Figure 2. Functional Block Diagram The ADV611/ADV612 adheres to international standard CCIR-601 for studio quality digital video. The codec also sup- ports a range of field sizes and rates providing high performance in computer, PAL, NTSC, or still image environments. The ADV611/ADV612 is designed only for real-time interlaced video; full frames of video are formed and processed as two independent fields of data. The ADV611/ADV612 supports the field rates and sizes in Table I. Note that the maximum active field size is 720 by 288. The maximum pixel rate is 13.50 MHz. The ADV611/ADV612 has a generic 16-/32-bit host interface that includes a 512-position, 32-bit wide FIFO for compressed video. With additional external hardware, the ADV611/ADV612’s host interface is suitable (when interfaced to other devices) for moving compressed video over PCI, ISA, SCSI, SONET, 10 Base T, ARCnet, HDSL, ADSL and a broad range of digital inter- faces. For a full description of the Host Interface, see the Host Interface section. The compressed data rate is determined by the input data rate and the selected compression ratio. The ADV611/ADV612 can achieve a near constant compressed bit rate by using the current field statistics in the off-chip bin width calculator on the exter- nal DSP or Host. The process of calculating bin widths on a DSP or Host can be “adaptive,” optimizing the compressed bit rate in real time. This feature provides a near constant bit rate out of the host interface in spite of scene changes or other types of source material changes that would otherwise create bit rate burst conditions. For more information on the quantizer, see the Programmable Quantizer section. The ADV611/ADV612 typically yields visually loss-less com- pression on natural images at a 4:1 compression ratio. For more information on compression ratios, see the Getting the Most Out of the ADV611/ADV612 section. Desired image quality levels can vary widely in different applications, so it is advisable to evaluate image quality of known source material at different compression ratios to find the best compression range for the application. The subband coding architecture of the ADV611/ ADV612 provides a number of options to stretch compression performance. These options are outlined in the Applying the ADV611/ADV612 section. Table I. ADV611/ADV612 Field Rates and Sizes Active Active Total Total Standard Region Region Region Region Field Rate Pixel Rate Name Horizontal Vertical1 Horizontal Vertical (Hz) (MHz)2 CCIR-601/525 720 243 858 262.5 59.94 13.50 CCIR-601/625 720 288 864 312.5 50.00 13.50 NOTES 1The maximum active field size is 720 by 288. 2The maximum pixel rate is 13.5 MHz.

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ADV611/ADV612 –3–REV. 0 The ADV611/ADV612 are real-time compression integrated circuits designed for remote video surveillance or closed circuit television (CCTV) applications. The most important feature of these two devices is the “Quality Box.” With this feature the user can define a box of any size and location within each field of video that will be compressed at full contrast while the re- mainder outside the box, or background of the image, is com- pressed at a lower level of contrast. The background contrast level is controlled by the user. The lower the contrast level, the more the image will be compressed. The objective in a given Table II. Differences Between the ADV601, ADV601LC, ADV611 and ADV612 ADV601 ADV601LC ADV611 ADV612 Bits per Component 10 8 8 8 DSP Serial Port Yes No No No Package 160 PQFP 120 LQFP 120 LQFP 120 LQFP Pin Assignments Unique Unique 98% Similar to ADV601LC 98% Similar to ADV601LC Temperature Range 0°C to +70°C 0°C to +70°C 0°C to +70°C –25°C to +85°C θJA 31°C/W 35°C/W 35°C/W 35°C/W θJC 7.5°C/W 5°C/W 5°C/W 5°C/W Field Rate Reduction Software Software Hardware Hardware Stall Mode No No Yes Yes Field Truncation No No Yes Yes Field Size Register No No Yes Yes Field Bit Polarity Control No No Yes Yes Evaluation Board VideoLab VideoPipe CCTVPIPE CCTVPIPE Target Applications Professional Consumer CCTV Industrial CCTV Figure 3. application is to adjust the background contrast to a level that ensures both a recognizable and useful background as well as the highest possible compression. Figure 3 shows how this qual- ity box appears in final video. The ADV611/ADV612 is housed in a plastic LQFP package suitable for cost-sensitive commercial applications. COMPARING THE ADV6xx FAMILY VIDEO CODECS The ADV6xx video codecs support a range of interface, pack- age, and compression features. Table II compares these codecs: Original Video Image Image after compression/decompression shown with different box size and position PROGRAMMABLE QUALITY BOX VARIABLE CONTRAST BACKGROUND

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ADV611/ADV612 –4– REV. 0 INTERNAL ARCHITECTURE The ADV611/ADV612 is composed of eight blocks. Three of these blocks are interface blocks and five are processing blocks. The interface blocks are the Digital Video I/O Port, the Host I/O Port and the external DRAM manager. The processing blocks are the Wavelet Kernel, the On-Chip Transform Buffer, the Programmable Quantizer, the Run Length Coder and the Huffman Coder. Digital Video I/O Port Provides a real-time uncompressed video interface to support a broad range of component digital video formats, including “D1.” Host I/O Port and FIFO Carries control, status, and compressed video to and from the host processor. A 512 position by 32-bit FIFO buffers the com- pressed video stream between the host and the Huffman Coder. Hardware Field Rate Reduction In CCTV applications it is often desirable to reduce the field rate to achieve the highest possible compression. The ADV611/ ADV612 have special hardware to permit this function. It is possible to set a register on the ADV611/ADV612 during en- code mode that will automatically reduce the field rate. This is a 5-bit register that allows up to 31 fields to be “skipped.” Stall Mode It is possible to stall or halt the ADV611/ADV612 at any time during Encode Mode. This allows the user to feed uncompressed video data to these parts and to stop indefinitely between fields or even between pixels. This feature is useful when compressing video that is not coming into the ADV611/ADV612 at sustained VCLK rates. Stall Mode is enabled by asserting the Stall pin at any time during encode. Stall mode is enabled on the next clock cycle after the pin is asserted. Field Size Reporting The ADV611/ADV612 have a read-only register that allows the user to read the field size of the most recently compressed field. This feature is useful in the feedback loop of a precise bit rate controller. The data is valid after LCODE (unless an entire compressed field resides in the internal FIFO). DRAM Manager Performs all tasks related to writing, reading and refreshing the external DRAM. The external host buffer DRAM is used for reordering and buffering quantizer input and output values. Wavelet Kernel (Filters, Decimator, and Interpolator) Gathers statistics on a per-field basis and includes a block of filters, interpolators and decimators. The kernel calculates for- ward and backward bi-orthogonal, two-dimensional, separable wavelet transforms on horizontal scanned video data. This block uses the internal transform buffer when performing wavelet transforms calculated on an entire image’s data and so elimi- nates any need for extremely fast external memories in an ADV611/ADV612-based design. On-Chip Transform Buffer Provides an internal set of SRAM for use by the wavelet trans- form kernel. Its function is to provide enough delay line storage to support calculation of separable two dimensional wavelet transforms for horizontally scanned images. Programmable Quantizer Quantizes wavelet coefficients. Quantize controls are calculated by the external DSP or host processor during encode operations and de-quantize controls are extracted from the compressed bitstream during decode. Each quantizer Bin Width is com- puted by the BW calculator software to maintain a constant compressed bit rate or constant quality bit rate. A Bin Width is a per-block parameter the quantizer uses when determining the number of bits to allocate to each block (subband). Quality Box The quality box is defined using the Video Area Registers that are described in the Registers Descriptions section. The back- ground contrast is controlled using Background Contrast Regis- ters that are defined later in this document. It is possible to control both parameters on a per-field basis during Encode Mode. This enables the quality box to either move slowly across the image or to instantaneously jump from one location to the next. Run Length Coder Performs run length coding on zero data and models nonzero data, encoding or decoding for more efficient Huffman coding. This data coding is optimized across the subbands and varies depending on the block being coded. Huffman Coder Performs Huffman coder and decoder functions on quantized run-length coded coefficient values. The Huffman coder/de- coder uses three ROM-coded Huffman tables that provide ex- cellent performance for wavelet transformed video. Field Truncation It is possible to set a hard upper limit to the field size of each field during Encode Mode. The Huffman Coder is able to de- tect if the field size exceeds a preset threshold and then causes the remaining Mallat block data to be zeroed out, therefore, truncating the field’s data. The bitstream is truncated in such a way that all end-of-field markers are inserted. This means that the compressed bitstream can still be decompressed by any hardware or software ADV6xx decoder. The only penalty is the loss of Mallat blocks which, depending on how many are lost, will degrade the image quality of the truncated field. GENERAL THEORY OF OPERATION The ADV611/ADV612 processor’s compression algorithm is based on the bi-orthogonal (7, 9) wavelet transform, and imple- ments field independent subband coding. Subband coders trans- form two-dimensional spatial video data into spatial frequency filtered subbands. The quantization and entropy encoding pro- cesses provide the ADV611/ADV612’s data compression. The wavelet theory, on which the ADV611/ADV612 is based, is a new mathematical apparatus first explicitly introduced by Morlet and Grossman in their works on geophysics during the mid 80s. This theory became very popular in theoretical physics and applied math. The late 80s and 90s have seen a dramatic growth in wavelet applications such as signal and image process- ing. For more on wavelet theory by Morlet and Grossman, see Decomposition of Hardy Functions into Square Integrable Wavelets of Constant Shape (journal citation listed in References section).

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ADV611/ADV612 –5–REV. 0 BLOCK A IS HIGH PASS IN X AND DECIMATED BY TWO. BLOCK B IS HIGH PASS IN X, HIGH PASS IN Y, AND DECIMATED BY EIGHT. BLOCK C IS HIGH PASS IN X, LOW PASS IN Y, AND DECIMATED BY EIGHT. BLOCK D IS LOW PASS IN X, HIGH PASS IN Y, AND DECIMATED BY EIGHT. BLOCK E IS HIGH PASS IN X, HIGH PASS IN Y, AND DECIMATED BY 32. BLOCK F IS HIGH PASS IN X, LOW PASS IN Y, AND DECIMATED BY 32. BLOCK G IS LOW PASS IN X, HIGH PASS IN Y, AND DECIMATED BY 32. BLOCK H IS HIGH PASS IN X, HIGH PASS IN Y, AND DECIMATED BY 128. BLOCK I IS HIGH PASS IN X, LOW PASS IN Y, AND DECIMATED BY 128. BLOCK J IS LOW PASS IN X, HIGH PASS IN Y, AND DECIMATED BY 128. BLOCK K IS HIGH PASS IN X, HIGH PASS IN Y, AND DECIMATED BY 512. BLOCK L IS HIGH PASS IN X, LOW PASS IN Y, AND DECIMATED BY 512. BLOCK M IS LOW PASS IN X, HIGH PASS IN Y, AND DECIMATED BY 512. BLOCK N IS LOW PASS IN X, LOW PASS IN Y, AND DECIMATED BY 512. N M L K I HJ G F E C BD A Figure 5. Modified Mallat Diagram (Block Letters Correspond to Those in Filter Tree) ENCODE PATH DECODE PATH WAVELET KERNEL FILTER BANK ADAPTIVE QUANTIZER RUN LENGTH CODER & HUFFMAN CODER COMPRESSED DATA Figure 4. Encode and Decode Paths References For more information on the terms, techniques and underlying principles referred to in this data sheet, you may find the follow- ing reference texts useful. A reference text for general digital video principles is: Jack, K., Video Demystified: A Handbook for the Digital Engineer (High Text Publications, 1993) ISBN 1-878707-09-4 Three reference texts for wavelet transform background infor- mation are: Vetterli, M., Kovacevic, J., Wavelets And Subband Coding (Prentice Hall, 1995) ISBN 0-13-097080-8 Benedetto, J., Frazier, M., Wavelets: Mathematics And Applica- tions (CRC Press, 1994) ISBN 0-8493-8271-8 Grossman, A., Morlet, J., Decomposition of Hardy Functions into Square Integrable Wavelets of Constant Shape, Siam. J. Math. Anal., Vol. 15, No. 4, pp 723-736, 1984 THE WAVELET KERNEL This block contains a set of filters and decimators that work on the image in both horizontal and vertical directions. Figure 8 illustrates the filter tree structure. The filters apply carefully chosen wavelet basis functions that better correlate to the broad- band nature of images than the sinusoidal waves used in Dis- crete Cosine Transform (DCT) compression schemes (JPEG, MPEG, and H261). An advantage of wavelet-based compression is that the entire image can be filtered without being broken into sub-blocks as required in DCT compression schemes. This full image filtering eliminates the block artifacts seen in DCT compression and offers more graceful image degradation at high compression ratios. The availability of full image subband data also makes image processing, scaling, and a number of other system fea- tures possible with little or no computational overhead. The resultant filtered image is made up of components of the original image as is shown in Figure 5 (a modified Mallat Tree). Note that Figure 5 shows how a component of video would be filtered, but in multiple component video, luminance and color components are filtered separately. In Figure 6 and Figure 7 an actual image and the Mallat Tree (luminance only) equivalent is shown. It is important to note that while the image has been filtered or transformed into the frequency domain, no compres- sion has occurred. With the image in its filtered state, it is now ready for processing in the second block, the quantizer. Understanding the structure and function of the wavelet filters and resultant product is the key to obtaining the highest perfor- mance from the ADV611/ADV612. Consider the following points: • The data in all blocks (except N) for all components are high pass filtered. Therefore, the mean pixel value in those blocks is typically zero and a histogram of the pixel values in these blocks will contain a single “hump” (Laplacian distribution). • The data in most blocks is more likely to contain zeros or strings of zeros than unfiltered image data. • The human visual system is less sensitive to higher frequency blocks than low ones. • Attenuation of the selected blocks in luminance or color com- ponents results in control over sharpness, brightness, contrast and saturation. • High quality filtered/decimated images can be extracted/created without computational overhead. Through leverage of these key points, the ADV611/ADV612 not only compresses video, but offers a host of application features. Please see the Applying the ADV611/ADV612 section for details on getting the most out of the ADV611/ADV612’s subband coding architecture in different applications.

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ADV611/ADV612 –6– REV. 0 Figure 6. Unfiltered Original Image (Analog Devices Corporate Offices, Norwood, Massachusetts) Figure 7. Modified Mallat Diagram of Image

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ADV611/ADV612 –7–REV. 0 LOW PASS IN X LUMINANCE AND COLOR COMPONENTS (EACH SEPARATELY) STAGE 1 INDICATES DECIMATE BY TWO IN X INDICATES DECIMATE BY TWO IN Y INDICATES CORRESPONDING BLOCK LETTER ON MALLAT DIAGRAM X 2 BLOCK A Y 2 STAGE 2 STAGE 3 STAGE 4 STAGE 5 HIGH PASS IN X X 2 LOW PASS IN X HIGH PASS IN X X 2 X 2 LOW PASS IN Y HIGH PASS IN Y LOW PASS IN Y HIGH PASS IN Y Y 2 Y 2 Y 2 BLOCK B BLOCK C BLOCK D LOW PASS IN X HIGH PASS IN X X 2 X 2 LOW PASS IN Y HIGH PASS IN Y LOW PASS IN Y HIGH PASS IN Y Y 2 Y 2 Y 2 Y 2 BLOCK # X 2 Y 2 LOW PASS IN X HIGH PASS IN XBLOCK E BLOCK F BLOCK G X 2 X 2 LOW PASS IN Y HIGH PASS IN Y LOW PASS IN Y HIGH PASS IN Y Y 2 Y 2 Y 2 Y 2 LOW PASS IN X HIGH PASS IN XBLOCK H BLOCK I BLOCK J X 2 X 2 LOW PASS IN Y HIGH PASS IN Y LOW PASS IN Y HIGH PASS IN Y Y 2 Y 2 Y 2 Y 2 BLOCK K BLOCK L BLOCK M BLOCK N Figure 8. Wavelet Filter Tree Structure

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ADV611/ADV612 –8– REV. 0 41 38 35 32 26 2329 20 17 14 8 511 2 Cr COMPONENT LOW HIGH QUANTIZATION OF MALLAT BLOCKS 39 36 33 30 24 2127 18 15 12 6 39 0 Y COMPONENT 40 37 34 31 25 2228 19 16 13 7 410 1 Cb COMPONENT Figure 10. Typical Quantization of Mallat Data Blocks (Graphed) THE PROGRAMMABLE QUANTIZER This block quantizes the filtered image based on the response profile of the human visual system. In general, the human eye cannot resolve high frequencies in images to the same level of accuracy as lower frequencies. Through intelligent “quantiza- tion” of information contained within the filtered image, the ADV611/ADV612 achieves compression without compromising the visual quality of the image. Figure 9 shows the encode and decode data formats used by the quantizer. Figure 10 shows how a typical quantization pattern applies over Mallat block data. The high frequency blocks receive much larger quantization (appear darker) than the low frequency blocks (appear lighter). Looking at this figure, one sees some key point concerning quantization: (1) quantization relates directly to frequency in Mallat block data and (2) levels of quantization range widely from high to low frequency block. (Note that the fill is based on a log formula.) The relation between actual ADV611/ADV612 bin width factors and the Mallat block fill pattern in Figure 10 appears in Table III. 9.7 WAVELET DATA 6.10 1/BW 15.17 DATA 0.5 15.0 BIN NUMBER QUANTIZER - ENCODE MODE TRNCSIGNED SIGNED UNSIGNED 1/BW QUANTIZER - DECODE MODE 8.8 BW 23.8 DE-QUANTIZED WAVELET DATA 9.7 WAVELET DATA 15.0 BIN NUMBER SIGNED SIGNED UNSIGNED BW SAT Figure 9. Programmable Quantizer Data Flow

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ADV611/ADV612 –9–REV. 0 Table III. Typical Quantization of Mallat Data Block Data1 Mallat Bin Width Reciprocal Bin Blocks Factors Width Factors 39 0x007F 0x0810 40 0x009A 0x06a6 41 0x009A 0x06a6 36 0x00BE 0x0564 33 0x00BE 0x0564 30 0x00E4 0x047e 34 0x00E6 0x0474 35 0x00E6 0x0474 37 0x00E6 0x0474 38 0x00E6 0x0474 31 0x0114 0x03b6 32 0x0114 0x03b6 27 0x0281 0x0199 24 0x0281 0x0199 21 0x0301 0x0155 25 0x0306 0x0153 26 0x0306 0x0153 28 0x0306 0x0153 29 0x0306 0x0153 22 0x03A1 0x011a 23 0x03A1 0x011a 5 0x0A16 0x0066 18 0x0A16 0x0066 12 0x0C1A 0x0055 20 0x0C2E 0x0054 19 0x0C2E 0x0054 17 0x0C2E 0x0054 16 0x0C2E 0x0054 14 0x0E9D 0x0046 13 0x0E9D 0x0046 6 0x1DDC 0x0022 9 0x1DDC 0x0022 3 0x23D5 0x001d 11 0x2410 0x001c 10 0x2410 0x001c 8 0x2410 0x001c 7 0x2410 0x001c 5 0x2B46 0x0018 4 0x2B46 0x0018 0 0xA417 0x0006 2 0xC62B 0x0005 1 0xC62B 0x0005 NOTE 1The Mallat block numbers, Bin Width factors, and Reciprocal Bin Width factors in Table III correspond to the shading per-cent fill) of Mallat blocks in Figure 10. THE RUN LENGTH CODER AND HUFFMAN CODER This block contains two types of entropy coders that achieve mathematically loss-less compression: run-length and Huffman. The run-length coder looks for long strings of zeros and replaces them with short hand symbols. Table IV illustrates an example of how compression is possible. The Huffman coder is a digital compressor/decompressor that can be used for compressing any type of digital data. Essentially, an ideal Huffman coder creates a table of the most commonly occurring code sequences (typically zero and small values near zero) and then replaces those codes with some shorthand. The ADV611/ADV612 employs three fixed Huffman tables; it does not create tables. The filters and the quantizer increase the number of zeros and strings of zeros, which improves the performance of the entropy coders. The higher the selected compression ratio, the more zeros and small value sequences the quantizer needs to generate. The transformed image in Figure 7 shows that the filter bank concentrates zeros and small values in the higher frequency blocks. Encoding vs. Decoding The decoding of compressed video follows the exact path as encoding but in reverse order. There is no need to calculate bin widths during decode because the bin width is stored in the compressed image during encode. PROGRAMMER’S MODEL A host device configures the ADV611/ADV612 using the Host I/O Port. The host reads from status registers and writes to control registers through the Host I/O Port. Table V. Register Description Conventions Register Name Register Type (Indirect or Direct, Read or Write) and Address Register Functional Description Text Bit [#] or Bit or Bit Field Name and Usage Description Bit Range [High:Low] 0 Action or Indication When Bit Is Cleared (Equals 0) 1 Action or Indication When Bit Is Set (Equals 1) Table IV. Uncompressed Versus Compressed Data Using Run-Length Coding 0000000000000000000000000000000000000000000000000000000000000000000(uncompressed) 57 Zeros (Compressed)

ADV611JSTZ Reviews

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December 29, 2020

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September 30, 2019

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August 1, 2019

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July 3, 2019

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March 17, 2019

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February 24, 2019

Fast delivery well packed and as described.

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February 1, 2019

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