Title :
Smoothness-constrained quantization for wavelet image compression
Author :
Carey, W. Knox ; Hemami, Sheila S. ; Heller, Peter N.
Author_Institution :
Sch. of Electr. Eng., Cornell Univ., Ithaca, NY, USA
fDate :
12/1/1999 12:00:00 AM
Abstract :
Uniform quantization of wavelet coefficients introduces perceptually disturbing artifacts by decreasing the visual smoothness. In this paper, the local Holder regularity is used to quantify these changes in visual smoothness. A modified uniform quantization scheme that constrains local regularity reduction is proposed. The quantizer modification is applicable to any uniform quantization scheme and requires no additional side information to be transmitted to the decoder, unlike standard deadzone quantizers. The reconstructed images show a noticeable perceptual improvement as well as an increased PSNR relative to uniform quantization
Keywords :
data compression; image coding; image reconstruction; quantisation (signal); transform coding; wavelet transforms; PSNR; artifacts; decoder; image reconstruction; local Holder regularity; modified uniform quantization; smoothness-constrained quantization; uniform quantization; visual smoothness; wavelet coefficients; wavelet image compression; Compression algorithms; Continuous wavelet transforms; Decoding; Image coding; Image reconstruction; PSNR; Psychology; Quantization; Wavelet coefficients; Wavelet transforms;
Journal_Title :
Image Processing, IEEE Transactions on