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Oliver et al., 2003 - Google Patents

Fast and efficient spatial scalable image compression using wavelet lower trees

Oliver et al., 2003

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Document ID
3180014438421904415
Author
Oliver J
Malumbres M
Publication year
Publication venue
Data Compression Conference, 2003. Proceedings. DCC 2003

External Links

Snippet

A new image compression algorithm is proposed based on the efficient construction of wavelet coefficient lower trees. This lower-tree wavelet (LTW) encoder presents state-of-the- art compression performance, while its temporal complexity is lower than the one presented …
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Classifications

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    • H04N19/60—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding
    • H04N19/63—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding using sub-band based transform, e.g. wavelets
    • H04N19/64—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding using sub-band based transform, e.g. wavelets characterised by ordering of coefficients or of bits for transmission
    • H04N19/645—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding using sub-band based transform, e.g. wavelets characterised by ordering of coefficients or of bits for transmission by grouping of coefficients into blocks after the transform
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    • H04N19/13—Adaptive entropy coding, e.g. adaptive variable length coding [AVLC] or context adaptive binary arithmetic coding [CABAC]
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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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