Title :
Perceptual quantization for predictive coding of images
Author :
Kyeong Ho Yang ; Wenwu Zhu ; Faryar, A.F.
Author_Institution :
Bell Labs., Lucent Technol., Holmdel, NJ, USA
Abstract :
In this paper, we propose a new perceptual quantization method for predictive coding of images, where the quantization step size is adaptively changed according to the perceptibility of the distortion incurred to the current pixel. We measure the perceptibility using only the previously reconstructed samples which are also available at the decoder, so that any quantization-related overhead information does not need to be transmitted to the decoder. The proposed method can also provide the lossless concatenated coding property when applied to multigeneration of images since the same information on the perceptibility is available at the second time encoding. experiments show that the proposed perceptual quantization method provides much better subjective picture quality than the non-perceptual one when applied to the JPEG-LS standard.
Keywords :
image coding; quantisation (signal); transform coding; coding of images; encoding; image coding; perceptibility; perceptual quantization; predictive coding; Decoding; Discrete cosine transforms; HDTV; Image coding; Image reconstruction; Pixel; Predictive coding; Quantization; Transform coding; Video compression;
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.1999.822922