Title :
Near lossless image compression by local packing of histogram
Author :
Nasr-Esfahani, E. ; Samavi, S. ; Karimi, N. ; Shirani, S.
Author_Institution :
Dept. of Electr. & Comput. Eng., lsfahan Univ. of Technol., Isfahan
fDate :
March 31 2008-April 4 2008
Abstract :
In this paper a low complexity algorithm is proposed for near lossless compression of images. The reconstructed near lossless image can differ from the original one within a pixelwise error tolerance. This property is used to convert the histogram of the original image, by the proposed algorithm, to a new histogram which is proved to have minimum entropy. Hence, a new image is formed which has minimum entropy and high spatial correlation among its pixels and can efficiently be compressed. Simulation results show the effectiveness of this compression algorithm.
Keywords :
data compression; image coding; image reconstruction; minimum entropy methods; image reconstruction; local histogram packing; minimum entropy; near lossless image compression; pixelwise error tolerance; spatial correlation; Compression algorithms; Computer errors; Entropy coding; Histograms; Image coding; Image converters; Image reconstruction; Internet; Mobile communication; Pixel; image histogram; lossless compression; near lossless compression;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-1483-3
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2008.4517830
