UA91591C2 - Nonartefactual coding (options) and image decoding methods (options) - Google Patents

Nonartefactual coding (options) and image decoding methods (options)

Info

Publication number
UA91591C2
UA91591C2 UAA200811095A UAA200811095A UA91591C2 UA 91591 C2 UA91591 C2 UA 91591C2 UA A200811095 A UAA200811095 A UA A200811095A UA A200811095 A UAA200811095 A UA A200811095A UA 91591 C2 UA91591 C2 UA 91591C2
Authority
UA
Ukraine
Prior art keywords
image
coding
error
decoding
wastes
Prior art date
Application number
UAA200811095A
Other languages
Russian (ru)
Ukrainian (uk)
Inventor
Александр Васильевич Палаш
Сергей Иванович Свичкарев
Денис Николаевич Афанасьев
Original Assignee
Общество С Ограниченной Ответственностью "Смайл"
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 Общество С Ограниченной Ответственностью "Смайл" filed Critical Общество С Ограниченной Ответственностью "Смайл"
Priority to UAA200811095A priority Critical patent/UA91591C2/en
Priority to PCT/UA2009/000006 priority patent/WO2010030256A1/en
Publication of UA91591C2 publication Critical patent/UA91591C2/en

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/30Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using hierarchical techniques, e.g. scalability
    • H04N19/36Scalability techniques involving formatting the layers as a function of picture distortion after decoding, e.g. signal-to-noise [SNR] scalability
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/50Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding
    • H04N19/59Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding involving spatial sub-sampling or interpolation, e.g. alteration of picture size or resolution
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/90Methods 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

Landscapes

  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Compression Of Band Width Or Redundancy In Fax (AREA)
  • Compression Or Coding Systems Of Tv Signals (AREA)

Abstract

A nonartifactual coding and image decoding method relates to information processing presented in a digital form with receiving a coding image without visual artefacts, There is a method that allows removing some artifacts even in the current image occurring at presentation of an original physical image in a digital form. It is possible according to offered method to realize a nonwaste coding and coding with wastes. The method is based on creation of pixel subsets with common number of input image pixels selected by means of a stochastic discretisation which may be realized with various means, creation on the base of specified subset. On the base of the specified subset they form a basic image model, calculate an error between the input image and the subset, archive error data array and write received data required for decoding to the file. In order to restore the image they perform actions analogical to coding in reverse order. During waste-coding they realize reduction of error data array when more or less part of the error spectrum with random noise is changed, which during decoding on the restored image has a form of graininess and diffuseness inherent for example to an usual photography. The technical result is to provide absence of coherent artefacts in the restored image (received during decoding) at simultaneous increase of efficiency of digital image compression without wastes or with wastes or improvement of image compression-quality with providing error character as a random noise during image decoding and obtaining a synthesized error within specified limits dependent on the image compression grade (coefficient) to be reached.
UAA200811095A 2008-09-12 2008-09-12 Nonartefactual coding (options) and image decoding methods (options) UA91591C2 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
UAA200811095A UA91591C2 (en) 2008-09-12 2008-09-12 Nonartefactual coding (options) and image decoding methods (options)
PCT/UA2009/000006 WO2010030256A1 (en) 2008-09-12 2009-02-11 Alias-free method of image coding and decoding (2 variants)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
UAA200811095A UA91591C2 (en) 2008-09-12 2008-09-12 Nonartefactual coding (options) and image decoding methods (options)

Publications (1)

Publication Number Publication Date
UA91591C2 true UA91591C2 (en) 2010-08-10

Family

ID=40904823

Family Applications (1)

Application Number Title Priority Date Filing Date
UAA200811095A UA91591C2 (en) 2008-09-12 2008-09-12 Nonartefactual coding (options) and image decoding methods (options)

Country Status (2)

Country Link
UA (1) UA91591C2 (en)
WO (1) WO2010030256A1 (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103679732B (en) * 2013-12-12 2016-08-24 西安建筑科技大学 High density impulsive noise adaptive filter algorithm based on noise measuring
CN109981110B (en) * 2019-03-05 2023-03-24 哈尔滨工业大学(深圳) Method of lossy compression with point-by-point relative error bounds

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2007034383A2 (en) * 2005-09-19 2007-03-29 Koninklijke Philips Electronics N.V. Image coding

Also Published As

Publication number Publication date
WO2010030256A1 (en) 2010-03-18

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