Title :
Working with JPEG2000: two proposals for sparse histogram images
Author_Institution :
CAD Lab., Pavia Univ., Italy
Abstract :
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.
Keywords :
code standards; data compression; discrete wavelet transforms; image coding; statistical analysis; transform coding; JPEG2000; MQ-coder; Tier-1 coding; coefficient coding; discrete wavelet transform; image compression; sparse histogram images; Discrete cosine transforms; Discrete wavelet transforms; Histograms; Image coding; Image converters; Laboratories; Proposals; Transform coding; Wavelet coefficients; Wavelet transforms;
Conference_Titel :
Image Analysis and Processing, 2003.Proceedings. 12th International Conference on
Print_ISBN :
0-7695-1948-2
DOI :
10.1109/ICIAP.2003.1234084