Title :
Adaptive, non-separable lifting transforms for image compression
Author_Institution :
Sch. of Electr. Eng., New South Wales Univ., Kensington, NSW, Australia
Abstract :
In the context of high performance image compression algorithms, such as that emerging as the JPEG 2000 standard, the wavelet transform has demonstrated excellent compression performance with natural images. Like all waveform coding techniques, however, performance suffers in the neighbourhood of oriented edges clad with artificial imagery such as text and graphics. In this paper, we explore some of the opportunities offered by the framework of lifting for developing adaptive wavelet transforms to improve performance under these conditions
Keywords :
data compression; image coding; wavelet transforms; JPEG 2000 standard; adaptive wavelet transforms; image compression; non-separable lifting transforms; performance; waveform coding; wavelet transform; Australia; Continuous wavelet transforms; Discrete cosine transforms; Graphics; Image coding; Quantization; Scalability; Standardization; Transform coding; Wavelet transforms;
Conference_Titel :
Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-5467-2
DOI :
10.1109/ICIP.1999.817221