APIC: Adaptive perceptual image coding based on subband decomposition with locally adaptive perceptual weighting

Ingo Hontsch, Lina Karam

Research output: Chapter in Book/Report/Conference proceedingConference contribution

22 Citations (Scopus)

Abstract

The perceptual subband image coder (PIC), originally introduced by R.J. Safranek and J.D. Johnston, selects a noise target level for each subband based on an empirically derived perceptual masking measure. These noise target levels are used to set the quantization level in the DPCM quantizer for every particular subband. It achieves high quality output at bit rates from 0.1 to 0.9 bits/pixel (bpp) depending on the complexity of the image. In this paper, we present an algorithm that locally adapts the quantizer step size at each pixel according to an estimate of the masking measure. This estimate is based on the already coded pixels and predictions of the not yet coded pixels. Compared to the PIC, the proposed method does not require any additional side information. In fact, it eliminates the need to transmit the quantizer step size for each subband. For comparable perceptual quality, the proposed method achieves compression gains up to 40 percent. Typical values are in the order of 20 to 30 percent, depending on the nature of the image. Our algorithm has also better performance for supra-threshold image compression since the perceptual error is distributed more evenly and is not concentrated in the most sensitive regions.

Original languageEnglish (US)
Title of host publicationIEEE International Conference on Image Processing
Place of PublicationLos Alamitos, CA, United States
PublisherIEEE Comp Soc
Pages37-40
Number of pages4
Volume1
StatePublished - 1997
EventProceedings of the 1997 International Conference on Image Processing. Part 2 (of 3) - Santa Barbara, CA, USA
Duration: Oct 26 1997Oct 29 1997

Other

OtherProceedings of the 1997 International Conference on Image Processing. Part 2 (of 3)
CitySanta Barbara, CA, USA
Period10/26/9710/29/97

Fingerprint

Image coding
Pixels
Decomposition
Image compression

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Electrical and Electronic Engineering

Cite this

Hontsch, I., & Karam, L. (1997). APIC: Adaptive perceptual image coding based on subband decomposition with locally adaptive perceptual weighting. In IEEE International Conference on Image Processing (Vol. 1, pp. 37-40). Los Alamitos, CA, United States: IEEE Comp Soc.

APIC : Adaptive perceptual image coding based on subband decomposition with locally adaptive perceptual weighting. / Hontsch, Ingo; Karam, Lina.

IEEE International Conference on Image Processing. Vol. 1 Los Alamitos, CA, United States : IEEE Comp Soc, 1997. p. 37-40.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hontsch, I & Karam, L 1997, APIC: Adaptive perceptual image coding based on subband decomposition with locally adaptive perceptual weighting. in IEEE International Conference on Image Processing. vol. 1, IEEE Comp Soc, Los Alamitos, CA, United States, pp. 37-40, Proceedings of the 1997 International Conference on Image Processing. Part 2 (of 3), Santa Barbara, CA, USA, 10/26/97.
Hontsch I, Karam L. APIC: Adaptive perceptual image coding based on subband decomposition with locally adaptive perceptual weighting. In IEEE International Conference on Image Processing. Vol. 1. Los Alamitos, CA, United States: IEEE Comp Soc. 1997. p. 37-40
Hontsch, Ingo ; Karam, Lina. / APIC : Adaptive perceptual image coding based on subband decomposition with locally adaptive perceptual weighting. IEEE International Conference on Image Processing. Vol. 1 Los Alamitos, CA, United States : IEEE Comp Soc, 1997. pp. 37-40
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