Naming image compression's state of the art surely leads to JPEG2000. This new format takes advantage of the discrete wavelet transform to overtake all the compression methods that have been used up to now. This article proposes two changes in the processing chain to deal with sparse histogram images: one nested in Tier-1 coding, the other between coefficient coding and MQ-coder.
Working with JPEG2000: two proposals for sparse histogram images
2003-01-01
362117 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Working with JPEG2000: Two Proposals for Sparse Histogram Images
British Library Conference Proceedings | 2003
|Subband-Based, Memory-Efficient JPEG2000 Images Indexing in Compressed-Domain
British Library Conference Proceedings | 2002
|