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Yi et al., 2012 - Google Patents

JPEG stream soft-decoding technique based on autoregressive modeling

Yi et al., 2012

Document ID
3937115978032155706
Author
Yi N
et al.
Publication year
Publication venue
The Journal of China Universities of Posts and Telecommunications

External Links

Snippet

This paper introduces a new model-based soft decoding technique to restore the widely used joint photographic expert group (JPEG) streams. The image is modeled as a two dimensional (2D) piecewise stationary autoregressive process, and the decoding task is …
Continue reading at www.sciencedirect.com (other versions)

Classifications

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    • H04N19/102—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or selection affected or controlled by the adaptive coding
    • H04N19/117—Filters, e.g. for pre-processing or post-processing
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    • H04N19/102—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or selection affected or controlled by the adaptive coding
    • H04N19/124—Quantisation
    • H04N19/126—Details of normalisation or weighting functions, e.g. normalisation matrices or variable uniform quantisers
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    • H04N19/157—Assigned coding mode, i.e. the coding mode being predefined or preselected to be further used for selection of another element or parameter
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    • H04N19/17—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object
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