Title :
Region-based near-lossless image compression
Author :
Pinho, Armando J.
Author_Institution :
Dept. de Electron. e Telecommun., Aveiro Univ., Portugal
Abstract :
We present a near-lossless technique for the compression of images, which is based on the partitioning of the image into regions of constant intensity. The boundary information associated with the image partition is encoded with the method of the transition points. The compression of the intensities of the regions is based on the usual entropy encoding of the context-modeled prediction residuals. The experimental results show that this approach is able to provide significant compression improvements in images having sparse histograms, for small L∞ errors
Keywords :
data compression; entropy codes; image coding; image segmentation; constant intensity regions; context-modeled prediction residuals; entropy encoding; image coding; image partitioning; image segmentation; near-lossless technique; region-based image compression; small L∞ errors; sparse histograms; Biomedical imaging; Digital photography; Encoding; Entropy; Histograms; Image coding; Predictive models; Quantization; Remote sensing; Telecommunications;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7803-7041-4
DOI :
10.1109/ICASSP.2001.941281
