Title :
Global discrete cosine transform for image compression
Author :
Nacer, F.-Z.N. ; Zergainoh, A. ; Merigot, A.
Author_Institution :
Inst. Galilee, Univ. Paris Sud, France
Abstract :
This paper presents a new lossy image compression method based on an orthogonal transformation (global discrete cosine transform, GDCT) using an optimal data truncation combined with an entropy coding (run length encoding and Huffman encoding). The proposed method can be efficiently implemented without significant increase of system complexity. Simulation results are provided and compared to other results from the literature. The results reveal that our method achieves significant performance in term of distortion (PSNR) versus compression ratio
Keywords :
Huffman codes; data compression; discrete cosine transforms; entropy codes; image coding; optimisation; runlength codes; transform coding; GDCT; Huffman encoding; PSNR; compression ratio; distortion; entropy coding; global discrete cosine transform; lossy image compression; optimal data truncation; orthogonal transformation; performance; runlength coding; Band pass filters; Discrete cosine transforms; Entropy; Frequency; Image coding; Low pass filters; Signal processing; Transform coding; Video compression; Videoconference;
Conference_Titel :
Signal Processing and its Applications, Sixth International, Symposium on. 2001
Conference_Location :
Kuala Lumpur
Print_ISBN :
0-7803-6703-0
DOI :
10.1109/ISSPA.2001.950201
