A perceptually tuned subband image coder based on the measure of just-noticeable-distortion profile

To maintain high image quality with low bit-rates, an effective coding algorithm should not only remove statistical correlation but also perceptual redundancy from image signals. A subband coding scheme based on estimation and exploitation of just-noticeable-distortion (JND) profile is presented.<<ETX>>

[1]  B. Julesz,et al.  Spatial-frequency masking in vision: critical bands and spread of masking. , 1972, Journal of the Optical Society of America.

[2]  David J. Sakrison,et al.  The effects of a visual fidelity criterion of the encoding of images , 1974, IEEE Trans. Inf. Theory.

[3]  B. Prasada,et al.  Adaptive quantization of picture signals using spatial masking , 1977, Proceedings of the IEEE.

[4]  James D. Johnston,et al.  A filter family designed for use in quadrature mirror filter banks , 1980, ICASSP.

[5]  R. Schäfer,et al.  Design of adaptive and nonadaptive quantizers using subjective criteria , 1983 .

[6]  Kou-Hu Tzou,et al.  Applications Of Physiological Human Visual System Model To Image Compression , 1984, Optics & Photonics.

[7]  William K. Pratt,et al.  Scene Adaptive Coder , 1984, IEEE Trans. Commun..

[8]  M. Vetterli.  Multi-dimensional sub-band coding: Some theory and algorithms , 1984 .

[9]  Norman B. Nill,et al.  A Visual Model Weighted Cosine Transform for Image Compression and Quality Assessment , 1985, IEEE Trans. Commun..

[10]  John W. Woods,et al.  Subband coding of images , 1986, IEEE Trans. Acoust. Speech Signal Process..

[11]  Bernd Girod,et al.  A subjective evaluation of noise-shaping quantization for adaptive intra-/interframe DPCM coding of color television signals , 1988, IEEE Trans. Commun..

[12]  Arun N. Netravali,et al.  Digital Pictures: Representation and Compression , 1988 .

[13]  James D. Johnston,et al.  Transform coding of audio signals using perceptual noise criteria , 1988, IEEE J. Sel. Areas Commun..

[14]  Robert Forchheimer,et al.  Image coding-from waveforms in animation , 1989, IEEE Trans. Acoust. Speech Signal Process..

[15]  Mitsuru Nomura,et al.  Basic characteristics of variable rate video coding in ATM environment , 1989, IEEE J. Sel. Areas Commun..

[16]  R. J. Safranek,et al.  A perceptually tuned sub-band image coder with image dependent quantization and post-quantization data compression , 1989, International Conference on Acoustics, Speech, and Signal Processing,.

[17]  D. Mclaren,et al.  Removal of subjective redundancy from DCT-coded images , 1991 .

[18]  Gregory K. Wallace,et al.  The JPEG still picture compression standard , 1991, CACM.

[19]  Jürgen Pandel.  Variable bit-rate image sequence coding with adaptive quantization , 1991, Signal Process. Image Commun..

[20]  Huib de Ridder.  Minkowski-metrics as a combination rule for digital-image-coding impairments , 1992 .

[21]  Nikil Jayant,et al.  Signal Compression: Technology Targets and Research Directions , 1992, IEEE J. Sel. Areas Commun..

[22]  Robert J. Safranek,et al.  Signal compression based on models of human perception , 1993, Proc. IEEE.

[23]  Jin Tae Kim,et al.  Subband Coding Using Human Visual Characteristics for Image Signals , 1993, IEEE J. Sel. Areas Commun..

[24]  Andrew B. Watson,et al.  DCT quantization matrices visually optimized for individual images , 1993, Electronic Imaging.

[25]  Anil K. Jain.  Fundamentals of Digital Image Processing , 2018, Control of Color Imaging Systems.