Entropy-constrained subband coding of images using a perceptual distortion criteria

C. F. Harris, J. W. Modestino

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

1 Citation (Scopus)

Abstract

A new perceptually relevant entropy-constrained coding scheme based on the just-noticeable-distortion (JND) level of the human observer is described and its properties demonstrated. The JND at each pixel location is defined as the threshold of detectability of the human visual system (HVS) to errors in reproducing that pixel. Because of the masking effect of the HVS, errors below the JND are rendered imperceptible. The JND is determined empirically as a function of spatial frequency, local texture and local contrast. A distortion measure is developed, making essential use of the JND, for a subband coding environment which attempts to mimic the subjective evaluation effects of the HVS. This distortion measure employs a weighted squared-error metric, where the weighting depends upon the JND value at each pixel position. It essentially assigns near-zero distortion to subthreshold errors and approximately squared-error distortion to superthreshold errors. This perceptual distortion measure was incorporated into a previously developed design procedure for entropy-constrained subband coding (ECSBC) schemes based upon training data. We demonstrate that, compared to use of the conventional squared-error distortion, significant improvements in subjective image reconstruction quality can be achieved at low average bit rates using this perceptual distortion measure.

Original languageEnglish
Title of host publicationProceedings of the 1993 IEEE International Symposium on Information Theory
Place of PublicationPiscataway, NJ, United States
PublisherPubl by IEEE
ISBN (Print)0780308786
StatePublished - Jan 1 1993
EventProceedings of the 1993 IEEE International Symposium on Information Theory - San Antonio, TX, USA
Duration: Jan 17 1993Jan 22 1993

Other

OtherProceedings of the 1993 IEEE International Symposium on Information Theory
CitySan Antonio, TX, USA
Period1/17/931/22/93

Fingerprint

Entropy
Pixels
Image reconstruction
Textures

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Harris, C. F., & Modestino, J. W. (1993). Entropy-constrained subband coding of images using a perceptual distortion criteria. In Proceedings of the 1993 IEEE International Symposium on Information Theory Piscataway, NJ, United States: Publ by IEEE.

Entropy-constrained subband coding of images using a perceptual distortion criteria. / Harris, C. F.; Modestino, J. W.

Proceedings of the 1993 IEEE International Symposium on Information Theory. Piscataway, NJ, United States : Publ by IEEE, 1993.

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

Harris, CF & Modestino, JW 1993, Entropy-constrained subband coding of images using a perceptual distortion criteria. in Proceedings of the 1993 IEEE International Symposium on Information Theory. Publ by IEEE, Piscataway, NJ, United States, Proceedings of the 1993 IEEE International Symposium on Information Theory, San Antonio, TX, USA, 1/17/93.
Harris CF, Modestino JW. Entropy-constrained subband coding of images using a perceptual distortion criteria. In Proceedings of the 1993 IEEE International Symposium on Information Theory. Piscataway, NJ, United States: Publ by IEEE. 1993
Harris, C. F. ; Modestino, J. W. / Entropy-constrained subband coding of images using a perceptual distortion criteria. Proceedings of the 1993 IEEE International Symposium on Information Theory. Piscataway, NJ, United States : Publ by IEEE, 1993.
@inproceedings{359865604cb547969e4f0f071080d6cb,
title = "Entropy-constrained subband coding of images using a perceptual distortion criteria",
abstract = "A new perceptually relevant entropy-constrained coding scheme based on the just-noticeable-distortion (JND) level of the human observer is described and its properties demonstrated. The JND at each pixel location is defined as the threshold of detectability of the human visual system (HVS) to errors in reproducing that pixel. Because of the masking effect of the HVS, errors below the JND are rendered imperceptible. The JND is determined empirically as a function of spatial frequency, local texture and local contrast. A distortion measure is developed, making essential use of the JND, for a subband coding environment which attempts to mimic the subjective evaluation effects of the HVS. This distortion measure employs a weighted squared-error metric, where the weighting depends upon the JND value at each pixel position. It essentially assigns near-zero distortion to subthreshold errors and approximately squared-error distortion to superthreshold errors. This perceptual distortion measure was incorporated into a previously developed design procedure for entropy-constrained subband coding (ECSBC) schemes based upon training data. We demonstrate that, compared to use of the conventional squared-error distortion, significant improvements in subjective image reconstruction quality can be achieved at low average bit rates using this perceptual distortion measure.",
author = "Harris, {C. F.} and Modestino, {J. W.}",
year = "1993",
month = "1",
day = "1",
language = "English",
isbn = "0780308786",
booktitle = "Proceedings of the 1993 IEEE International Symposium on Information Theory",
publisher = "Publ by IEEE",

}

TY - GEN

T1 - Entropy-constrained subband coding of images using a perceptual distortion criteria

AU - Harris, C. F.

AU - Modestino, J. W.

PY - 1993/1/1

Y1 - 1993/1/1

N2 - A new perceptually relevant entropy-constrained coding scheme based on the just-noticeable-distortion (JND) level of the human observer is described and its properties demonstrated. The JND at each pixel location is defined as the threshold of detectability of the human visual system (HVS) to errors in reproducing that pixel. Because of the masking effect of the HVS, errors below the JND are rendered imperceptible. The JND is determined empirically as a function of spatial frequency, local texture and local contrast. A distortion measure is developed, making essential use of the JND, for a subband coding environment which attempts to mimic the subjective evaluation effects of the HVS. This distortion measure employs a weighted squared-error metric, where the weighting depends upon the JND value at each pixel position. It essentially assigns near-zero distortion to subthreshold errors and approximately squared-error distortion to superthreshold errors. This perceptual distortion measure was incorporated into a previously developed design procedure for entropy-constrained subband coding (ECSBC) schemes based upon training data. We demonstrate that, compared to use of the conventional squared-error distortion, significant improvements in subjective image reconstruction quality can be achieved at low average bit rates using this perceptual distortion measure.

AB - A new perceptually relevant entropy-constrained coding scheme based on the just-noticeable-distortion (JND) level of the human observer is described and its properties demonstrated. The JND at each pixel location is defined as the threshold of detectability of the human visual system (HVS) to errors in reproducing that pixel. Because of the masking effect of the HVS, errors below the JND are rendered imperceptible. The JND is determined empirically as a function of spatial frequency, local texture and local contrast. A distortion measure is developed, making essential use of the JND, for a subband coding environment which attempts to mimic the subjective evaluation effects of the HVS. This distortion measure employs a weighted squared-error metric, where the weighting depends upon the JND value at each pixel position. It essentially assigns near-zero distortion to subthreshold errors and approximately squared-error distortion to superthreshold errors. This perceptual distortion measure was incorporated into a previously developed design procedure for entropy-constrained subband coding (ECSBC) schemes based upon training data. We demonstrate that, compared to use of the conventional squared-error distortion, significant improvements in subjective image reconstruction quality can be achieved at low average bit rates using this perceptual distortion measure.

UR - http://www.scopus.com/inward/record.url?scp=0027269044&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0027269044&partnerID=8YFLogxK

M3 - Conference contribution

SN - 0780308786

BT - Proceedings of the 1993 IEEE International Symposium on Information Theory

PB - Publ by IEEE

CY - Piscataway, NJ, United States

ER -