DocumentCode :
310380
Title :
Adaptive block-size transform coding for image compression
Author :
Bracamonte, Javier ; Ansorge, Michael ; Pellandini, Fausto
Author_Institution :
Inst. of Microtechnol., Neuchatel Univ., Switzerland
Volume :
4
fYear :
1997
fDate :
21-24 Apr 1997
Firstpage :
2721
Abstract :
In this paper we report the results of an adaptive block-size transform coding scheme that is based on the sequential JPEG algorithm. This minimum information-overhead method implies a transform coding technique with two different block sizes: N×N and 2N×2N pixels. The input image is divided into blocks of 2N×2N pixels and each of these blocks is classified according to its image activity. Depending on this classification, either four N-point or a single 2N-point 2-D DCT is applied on the block. The purpose of the algorithm is to take advantage of large uniform regions that can be coded as a single large unit instead of four small units-as it is made by a fixed block-size scheme. For the same reconstruction quality, the results of the adaptive algorithm show a significant improvement of the compression ratio with respect to the non-adaptive scheme
Keywords :
adaptive codes; computational complexity; data compression; discrete cosine transforms; image classification; image coding; image segmentation; transform coding; 2-D DCT; adaptive algorithm; adaptive block-size transform coding; block classification; image activity; image compression; large uniform regions; minimum information-overhead method; reconstruction quality; sequential JPEG algorithm; Adaptive algorithm; Data compression; Discrete cosine transforms; Discrete transforms; Image coding; Image reconstruction; Laboratories; Pixel; Transform coding; Video coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location :
Munich
ISSN :
1520-6149
Print_ISBN :
0-8186-7919-0
Type :
conf
DOI :
10.1109/ICASSP.1997.595351
Filename :
595351
Link To Document :
بازگشت