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WO1997005747A1 - Procede de codage et de decodage d'images et dispositif de mise en oeuvre - Google Patents

Procede de codage et de decodage d'images et dispositif de mise en oeuvre Download PDF

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Publication number
WO1997005747A1
WO1997005747A1 PCT/RU1996/000243 RU9600243W WO9705747A1 WO 1997005747 A1 WO1997005747 A1 WO 1997005747A1 RU 9600243 W RU9600243 W RU 9600243W WO 9705747 A1 WO9705747 A1 WO 9705747A1
Authority
WO
WIPO (PCT)
Prior art keywords
eτalοnοv
izοbρazheniya
blοκ
blοκa
images
Prior art date
Application number
PCT/RU1996/000243
Other languages
English (en)
Russian (ru)
Inventor
Igor Alexandrovich Malyshev
Evgeny Petrovich Danilov
Original Assignee
R-Amtech International, Inc.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by R-Amtech International, Inc. filed Critical R-Amtech International, Inc.
Publication of WO1997005747A1 publication Critical patent/WO1997005747A1/fr

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/90—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using coding techniques not provided for in groups H04N19/10-H04N19/85, e.g. fractals
    • H04N19/94—Vector quantisation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T9/00—Image coding
    • G06T9/008—Vector quantisation

Definitions

  • the proposed invention is subject to a signal processing area » 5 images and may be used, in particular, for reconditioning
  • V By restoring (maintaining) the product to the original estates with the cultivation of its small parts, accessories and other goods, which are in the main value. 10
  • the process of feeding-removing the images may be used:
  • an adaptive differential modulation method and feeding methods [1] ensure an easy-to-use system for a large-scale system. This method ensures compression in 4-5 times, but the high quality resolution of the image is substantially dependent (reduced) on the noise level in the communication channels.
  • block cooling is used [1]. In this case, not all images are squeezed out at once, but its parts or blocks, which are in fact divided up, are divided into two parts.
  • the general method is widely used.
  • the CEC method is the most widely used method of compression and the following investigative process is provided:
  • a discrete cosmic device in addition to a simple image, it is divided into blocks and each unit is protected.
  • This operating system will have a large computing capacity, but without the need for information.
  • DEPARTMENT OF DISCUSSION DISCUSSION OF TRANSFORMATION OF FURYU has a conversion to processing The meaning of this operation is to be understood in connection with the express disclosure of the images in our possession of the product and to our customers. The most high-quality components of the converted products, possibly in this or another state, are subject to a large amount of available goods.
  • the DEP will process a material that is a source of material, in particular, of the components of frequency coefficients.
  • the high-speed elements of these matrices may be omitted without any process for visual analysis of the image.
  • the space necessary for calculating each element of the DSP matrix strongly depends on its size.
  • ⁇ C recommends the use of elementary matrices with a size of 8x8 elements;
  • the classic method ⁇ is based on the initial sale of books (books, books, libraries) and the library For this reason, the libraries used do not accept the type of data that is received, which causes larger errors due to small amounts of pressure,
  • Computing image processing systems have a narrow range of video transmission of data from video storage devices to video terminals. Good broadcasts are normally available through standard digital communication channels that have a fairly narrow transmission band. Therefore, the use of efficient compression and restoration of video data increases the speed of image analysis in such computing systems.
  • a separate problem is the provision of large arrays of computational data presented in a digital form. This may be a bank of cosmic video data, a bank of medical images, extreme visual data and others.
  • the use of the effective “compression-restoration” of the acceptable images is used by 1.5-2 times, it is necessary to save the required sizes of the calculations.
  • the power supply unit contains a memory unit for recording the video signal storage frame.
  • the converter of the unit / unit breaks the input signal into the blocks for simple calculation in each ( ⁇ réellemaster-whole, good) for receiving the unit of input.
  • the scheme for subtracting the form of blocks of inter-spacing is equipped with units for inter-sectional diversity in the sense of significant units. The transfer of data transfers information to you and stores it in memory for the duration of this information.
  • the centers of the indicated “t” classes are assigned and a certain settled way is accommodated in this unit. Then, on the basis of the analysis, the samples of educational data ( ⁇ -small items, that is, all units of the pixels of the product) are received. In addition, for each of the declared vectors, there is a disconnection from the center of the premises for minimum eclipse.
  • ⁇ a ⁇ same ⁇ a ⁇ for us ⁇ ychiv ⁇ g ⁇ ⁇ bucheniya ney ⁇ nny ⁇ se ⁇ ey ⁇ nena is ⁇ dn ⁇ e ⁇ l ⁇ zhenie ⁇ las ⁇ e ⁇ v d ⁇ lzhn ⁇ by ⁇ s ⁇ etsialnym ⁇ b ⁇ az ⁇ m u ⁇ yad ⁇ chen ⁇ ⁇ a ⁇ , ch ⁇ by ⁇ me ⁇ e na ⁇ as ⁇ aniya ⁇ yad ⁇ v ⁇ g ⁇ n ⁇ me ⁇ a ⁇ las ⁇ e ⁇ a values ⁇ s ⁇ ans ⁇ venny ⁇ ⁇ dina ⁇ eg ⁇ tsen ⁇ a m ⁇ n ⁇ nn ⁇ changed.
  • the original centers of the warehouses were installed at one of the diagonals of the ⁇ -primary unit, and the room of the unit was varied along the length of the diagnosis. Further, in the process described above, the process of adapting the location of the centers of the center is not used; In order to prevent this from happening, after the liquidation of each empty cluster and its closure, in the vicinity of the ⁇ n ⁇ v ⁇ yvaem ⁇ mu ⁇ las ⁇ e ⁇ u dae ⁇ sya n ⁇ me ⁇ , s ⁇ sedny with n ⁇ me ⁇ m ⁇ las ⁇ e ⁇ a, ⁇ dlezhascheg ⁇ ⁇ azbieniyu, ⁇ i e ⁇ m ⁇ edyduschie or ⁇ sleduyuschie n ⁇ me ⁇ a ⁇ las ⁇ e ⁇ v (in zavisim ⁇ s ⁇ i ⁇ ⁇ g ⁇ .
  • Formalization of catering and reference tables is subject to current conditions with the use of an electronic circuit or an active circuit. Then they are laid down in the ROM of the compression and restoration processes and are used during normal operation. If you need to replace it, you can replace the class of the cradled images by replacing the ROM, or by using the product of the
  • E ⁇ d ⁇ s ⁇ igae ⁇ sya is ⁇ lz ⁇ vannym for szha ⁇ iya ⁇ intsi ⁇ m ney ⁇ nny ⁇ se ⁇ ey ⁇ nena and s ⁇ zdaniem on i ⁇ ⁇ sn ⁇ ve bibli ⁇ e ⁇ i e ⁇ al ⁇ n ⁇ v, s ⁇ anyayuschey ⁇ l ⁇ giyu ⁇ di ⁇ uemy ⁇ resorty ⁇ , ch ⁇ delae ⁇ ⁇ edlagaemy me ⁇ d us ⁇ ychivym ⁇ ⁇ n ⁇ sheniyu ⁇ shi ⁇ mu ⁇ lassu iz ⁇ b ⁇ azheny ⁇ s ⁇ eds ⁇ v ⁇ m:
  • Fig. 1 a functional diagram of the device that implements the proposed method of food supply and disposal is provided.
  • Block ( ⁇ - ⁇ ) - implements the difference between the current value of the pixel size of the image block and the corresponding element of the reference.
  • Block ( ⁇ - ⁇ ) 2 - implements the calculation of the result of the previous block and implements the accumulation of the result in total.
  • the circuit works as follows. ⁇ dn ⁇ e iz ⁇ b ⁇ azhenie as tsi ⁇ v ⁇ y vyb ⁇ i v ⁇ dny ⁇ secy ⁇ a (1) ⁇ de ⁇ a (10) ⁇ mezhu ⁇ chnye ⁇ e ⁇ a ⁇ ivnye za ⁇ minayuschie us ⁇ ys ⁇ va ⁇ ZU ⁇ (2) and ⁇ ZU2 (3) elemen ⁇ v iz ⁇ b ⁇ azheniya 4 s ⁇ i ⁇ azhd ⁇ e the purpose bes ⁇ e ⁇ eb ⁇ yn ⁇ g ⁇ ⁇ bes ⁇ echeniya in ⁇ matsiey ⁇ sleduyuschi ⁇ bl ⁇ v.
  • the signals are sent to block (7), which implements operation ( ⁇ - ⁇ ) 2 in parallel with 4 lines (from 1 4 4 counts). After 20 nssek on the decisive elements, they will lose the second four counts (from 5 to 8).
  • the decoupling elements ( ⁇ -) carte) in their entirety have the results of the calculations, and the results of the calculations for further processing are processed by them.
  • the output of the unit is for all of the following two cases: (2) The procedure is also carried out in the decisive elements ( ⁇ - ⁇ ) 2 and an accumulation of amounts occurs.
  • Che ⁇ ez ⁇ mmu ⁇ a ⁇ (15) data from ⁇ dn ⁇ g ⁇ ⁇ ZU na ⁇ avlyayu ⁇ sya in bl ⁇ gene ⁇ atsii ⁇ iziches ⁇ g ⁇ ad ⁇ esa e ⁇ al ⁇ na ⁇ amya ⁇ i in (16) wherein n ⁇ me ⁇ ve ⁇ a of bibli ⁇ e ⁇ i e ⁇ al ⁇ na ⁇ e ⁇ b ⁇ azue ⁇ sya initially ad ⁇ es ⁇ as ⁇ l ⁇ zheniya e ⁇ al ⁇ na in ⁇ s ⁇ ans ⁇ ve ⁇ ZU bibli ⁇ e ⁇ i e ⁇ al ⁇ n ⁇ v.
  • the initial address of the reference is available in the unit of formation and the calculation of the address of the electronic memory (17). After reading the first page of the electronic unit in the device, the address of the following unit is started and the source of the source is in the process The counted information is sent from the RAM of the library of standards (18) to the output register (19) and further to the distribution of the output.
  • Fig. 1 a functional diagram of the equipment for the implementation of the proposed method for the supply and disposal of equipment is provided.
  • the power supply unit is implemented using the following elements: an input regu-
  • the device can be implemented on the following elements: an input register, a switch, a business unit and an external memory card that is out of memory

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Signal Processing (AREA)
  • Compression Or Coding Systems Of Tv Signals (AREA)
  • Compression, Expansion, Code Conversion, And Decoders (AREA)
  • Nitrogen And Oxygen Or Sulfur-Condensed Heterocyclic Ring Systems (AREA)

Abstract

La présente invention concerne un procédé et un dispositif destinés au codage et au décodage d'images en format numérique afin d'effectuer leur compression répétitive sans pour autant perdre de petits détails des images compressibles, ou encore d'autres informations significatives qu'elles contiennent. D'une manière concrète, ce procédé de codage consiste en un procédé de quantification adaptative de vecteurs. L'application du principe de transport et de traitement des informations d'entrée, en combinaison avec la mise en parallèle partielle des calculs, permet d'atteindre un ordre de temps proche de celui du balayage télévision lorsque l'on effectue des opérations de codage ou de décodage des informations. La présente invention concerne également le domaine du traitement numérique de signaux. Cette invention connaît des applications notamment dans le domaine de la réduction sensible du volume des informations vidéo qui est obtenue après le codage, dans la transmission d'informations vidéo spatiales et aériennes depuis le bord d'un avion vers la terre par un canal de communication à bande étroite et en temps réel, dans la transmission d'informations sur des réseaux de communication informatiques à l'aide des voies de communications téléphonique ou à bande étroite existantes, dans l'archivage économique d'informations vidéo aériennes, spatiales, médicales, relevant de la justice ou autres, dans l'archivage et la conservation de volumes importants de copies informatiques de textes imprimés ou manuscrits, dans l'archivage de documents juridiques ou relatifs à des brevets complets, de plans, de textes bancaires, dans la transmission rapide de volumes de données importants entre des systèmes de stockage des données et des terminaux informatiques vidéo, dans la compression et la reproduction d'images couleurs de grande taille et à vocation professionnelle utilisées dans la préparation de publications, et, enfin, dans la création de jeux et de films vidéo informatiques, de programmes vidéo interactifs éducatifs et récréatifs (CD-I, CD-R), et autres applications scientifiques et techniques.
PCT/RU1996/000243 1995-08-02 1996-07-31 Procede de codage et de decodage d'images et dispositif de mise en oeuvre WO1997005747A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
RU95112554 1995-08-02
RU95112554A RU2093968C1 (ru) 1995-08-02 1995-08-02 Способ кодирования-декодирования изображений и устройство для его осуществления

Publications (1)

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WO1997005747A1 true WO1997005747A1 (fr) 1997-02-13

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RU (1) RU2093968C1 (fr)
WO (1) WO1997005747A1 (fr)

Cited By (6)

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Publication number Priority date Publication date Assignee Title
US7720152B2 (en) 2002-10-01 2010-05-18 Thomson Licensing Implicit weighting of reference pictures in a video decoder
US7801217B2 (en) 2002-10-01 2010-09-21 Thomson Licensing Implicit weighting of reference pictures in a video encoder
US9219498B2 (en) 2009-10-09 2015-12-22 Thomson Licensing Method and device for arithmetic encoding or arithmetic decoding
US9549191B2 (en) 2002-07-15 2017-01-17 Thomson Licensing Adaptive weighting of reference pictures in video encoding
US9973781B2 (en) 2012-06-29 2018-05-15 Ge Video Compression, Llc Video data stream concept
US10045017B2 (en) 2012-04-13 2018-08-07 Ge Video Compression, Llc Scalable data stream and network entity

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EP0912053A1 (fr) * 1997-10-24 1999-04-28 CANAL+ Société Anonyme Système de télévision numérique à canaux multiples
UA57812C2 (uk) * 1997-11-04 2003-07-15 Джорджія Тек Ресерч Корпорейшн Система та спосіб передачі цифрового відеосигналу та даних через канал зв'язку
JP3639108B2 (ja) * 1998-03-31 2005-04-20 株式会社ソニー・コンピュータエンタテインメント 描画装置および描画方法、並びに提供媒体
EP0967801A1 (fr) * 1998-06-26 1999-12-29 Deutsche Thomson-Brandt Gmbh Méthode et appareil pour l'acquisition multistandard de données vidéo
US6529634B1 (en) * 1999-11-08 2003-03-04 Qualcomm, Inc. Contrast sensitive variance based adaptive block size DCT image compression
RU2230361C2 (ru) * 2001-03-01 2004-06-10 Стреж Сергей Васильевич Способ считывания и адресного кодирования графических изображений и устройство для его осуществления
KR100612829B1 (ko) * 2001-07-07 2006-08-18 삼성전자주식회사 그래픽 애니메이션 데이터의 키 부호화 장치와 그 방법
US7903742B2 (en) 2002-07-15 2011-03-08 Thomson Licensing Adaptive weighting of reference pictures in video decoding
RU2333615C2 (ru) * 2002-07-15 2008-09-10 Томсон Лайсенсинг С.А. Адаптивное взвешивание эталонных изображений при декодировании видеосигнала
RU2305377C2 (ru) * 2003-05-20 2007-08-27 Корпорация "САМСУНГ ЭЛЕКТРОНИКС Ко., Лтд." Способ уменьшения искажения сжатого видеоизображения и устройство для его реализации
KR100813958B1 (ko) * 2004-06-07 2008-03-14 세종대학교산학협력단 동영상의 무손실 인코딩 및 디코딩 방법, 그 장치
RU2270528C1 (ru) * 2004-08-12 2006-02-20 Борис Иванович Волков Способ сжатия и восстановления цифровых данных и устройство его осуществления
KR100679035B1 (ko) * 2005-01-04 2007-02-06 삼성전자주식회사 인트라 ｂｌ 모드를 고려한 디블록 필터링 방법, 및 상기방법을 이용하는 다 계층 비디오 인코더/디코더
EP2469859A3 (fr) * 2005-04-13 2012-08-29 NTT DoCoMo, Inc. Prédiction d'image à partir d'une analyse des bandes de fréquence de l'image à prédire
JP2007043651A (ja) 2005-07-05 2007-02-15 Ntt Docomo Inc 動画像符号化装置、動画像符号化方法、動画像符号化プログラム、動画像復号装置、動画像復号方法及び動画像復号プログラム
JP5253035B2 (ja) * 2008-08-08 2013-07-31 キヤノン株式会社 画像処理装置、画像処理方法、およびプログラム
RU2403677C1 (ru) * 2009-02-09 2010-11-10 Сергей Борисович Муллов Способ сжатия и восстановления данных без потерь
CA2764868A1 (fr) * 2009-06-19 2010-12-23 Mitsubishi Electric Corporation Dispositif de codage d'image, dispositif de decodage d'image, procede de codage d'image et procede de decodage d'image
RU2420014C1 (ru) * 2010-02-19 2011-05-27 Борис Иванович Волков Устройство сжатия и восстановления цифровых данных
RU2557579C1 (ru) * 2014-02-12 2015-07-27 Закрытое акционерное общество "Электронно-вычислительные информационные и инструментальные системы" (ЗАО "ЭЛВИИС") Способ и система обработки изображения
RU2698414C1 (ru) * 2018-09-21 2019-08-26 Владимир Александрович Свириденко Способ и устройство сжатия видеоинформации для передачи по каналам связи с меняющейся пропускной способностью и запоминания в системах хранения данных с использованием машинного обучения и нейросетей

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US11102486B2 (en) 2002-07-15 2021-08-24 Interdigital Vc Holdings, Inc. Adaptive weighting of reference pictures in video encoding
US10326993B2 (en) 2002-07-15 2019-06-18 Interdigital Vc Holdings, Inc. Adaptive weighting of reference pictures in video encoding
US10721472B2 (en) 2002-07-15 2020-07-21 Interdigital Vc Holdings, Inc. Adaptive weighting of reference pictures in video encoding
US9549191B2 (en) 2002-07-15 2017-01-17 Thomson Licensing Adaptive weighting of reference pictures in video encoding
US9930335B2 (en) 2002-07-15 2018-03-27 Thomson Licensing Adaptive weighting of reference pictures in video encoding
US7801217B2 (en) 2002-10-01 2010-09-21 Thomson Licensing Implicit weighting of reference pictures in a video encoder
US7720152B2 (en) 2002-10-01 2010-05-18 Thomson Licensing Implicit weighting of reference pictures in a video decoder
US9973208B2 (en) 2009-10-09 2018-05-15 Dolby Laboratories Licensing Corporation Method and device for arithmetic encoding or arithmetic decoding
US11381249B2 (en) 2009-10-09 2022-07-05 Dolby Laboratories Licensing Corporation Arithmetic encoding/decoding of spectral coefficients using preceding spectral coefficients
US10516414B2 (en) 2009-10-09 2019-12-24 Dolby Laboratories Licensing Corporation Method and device for arithmetic encoding or arithmetic decoding
US12334958B2 (en) 2009-10-09 2025-06-17 Dolby Laboratories Licensing Corporation Method and device for arithmetic encoding or arithmetic decoding
US10848180B2 (en) 2009-10-09 2020-11-24 Dolby Laboratories Licensing Corporation Method and device for arithmetic encoding or arithmetic decoding
US11770131B2 (en) 2009-10-09 2023-09-26 Dolby Laboratories Licensing Corporation Method and device for arithmetic encoding or arithmetic decoding
US9219498B2 (en) 2009-10-09 2015-12-22 Thomson Licensing Method and device for arithmetic encoding or arithmetic decoding
US10694198B2 (en) 2012-04-13 2020-06-23 Ge Video Compression, Llc Scalable data stream and network entity
US10045017B2 (en) 2012-04-13 2018-08-07 Ge Video Compression, Llc Scalable data stream and network entity
US12192492B2 (en) 2012-04-13 2025-01-07 Ge Video Compression, Llc Low delay picture coding
US11876985B2 (en) 2012-04-13 2024-01-16 Ge Video Compression, Llc Scalable data stream and network entity
US10674164B2 (en) 2012-04-13 2020-06-02 Ge Video Compression, Llc Low delay picture coding
US20190045201A1 (en) 2012-04-13 2019-02-07 Ge Video Compression, Llc Low delay picture coding
US11122278B2 (en) 2012-04-13 2021-09-14 Ge Video Compression, Llc Low delay picture coding
US11259034B2 (en) 2012-04-13 2022-02-22 Ge Video Compression, Llc Scalable data stream and network entity
US11343517B2 (en) 2012-04-13 2022-05-24 Ge Video Compression, Llc Low delay picture coding
US10123006B2 (en) 2012-04-13 2018-11-06 Ge Video Compression, Llc Low delay picture coding
US11025958B2 (en) 2012-06-29 2021-06-01 Ge Video Compression, Llc Video data stream concept
US11856229B2 (en) 2012-06-29 2023-12-26 Ge Video Compression, Llc Video data stream concept
US10484716B2 (en) 2012-06-29 2019-11-19 Ge Video Compression, Llc Video data stream concept
US11956472B2 (en) 2012-06-29 2024-04-09 Ge Video Compression, Llc Video data stream concept
US10743030B2 (en) 2012-06-29 2020-08-11 Ge Video Compression, Llc Video data stream concept
US9973781B2 (en) 2012-06-29 2018-05-15 Ge Video Compression, Llc Video data stream concept

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