research-article

A Haar Wavelet Approach to Compressed Image Quality Measurement

Authors:

C.-C.Jay KuoAuthors Info & Claims

Journal of Visual Communication and Image Representation, Volume 11, Issue 1

Pages 17 - 40

https://doi.org/10.1006/jvci.1999.0433

Published: 01 March 2000 Publication History

Abstract

The traditional mean-squared-error and peak-signal-to-noise-ratio error measures are mainly focused on the pixel-by-pixel difference between the original and compressed images. Such metrics are improper for subjective quality assessment, since human perception is very sensitive to specific correlations between adjacent pixels. In this work, we explore the Haar wavelet to model the space frequency localization property of human visual system (HVS) responses. It is shown that the physical contrast in different resolutions can be easily represented in terms of wavelet coefficients. By analyzing and modeling several visual mechanisms of the HVS with the Haar transform, we develop a new subjective fidelity measure which is more consistent with human observation experience.

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Cited By

Zhang HLiu LKang BZheng N(2023)Hierarchical Model Compression via Shape-Edge Representation of Feature Maps—an Enlightenment From the Primate Visual SystemIEEE Transactions on Multimedia10.1109/TMM.2022.321647725(6958-6970)Online publication date: 1-Jan-2023
https://dl.acm.org/doi/10.1109/TMM.2022.3216477
Zhou ZLi JQuan YXu R(2021)Image Quality Assessment Using Kernel Sparse CodingIEEE Transactions on Multimedia10.1109/TMM.2020.300147223(1592-1604)Online publication date: 1-Jan-2021
https://dl.acm.org/doi/10.1109/TMM.2020.3001472
Günther RGuthe SGuthe MCunningham DBreuß MJoerg SInterrante V(2017)A visual model for quality driven refinement of global illuminationProceedings of the ACM Symposium on Applied Perception10.1145/3119881.3119893(1-8)Online publication date: 16-Sep-2017
https://dl.acm.org/doi/10.1145/3119881.3119893
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A Haar Wavelet Approach to Compressed Image Quality Measurement
1. Computing methodologies
  1. Computer graphics
2. Mathematics of computing
  1. Mathematical analysis
    1. Numerical analysis

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Published In

cover image Journal of Visual Communication and Image Representation

Journal of Visual Communication and Image Representation Volume 11, Issue 1

March 2000

94 pages

ISSN:1047-3203

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Copyright © Academic Press.

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Academic Press, Inc.

United States

Publication History

Published: 01 March 2000

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Cited By

Zhang HLiu LKang BZheng N(2023)Hierarchical Model Compression via Shape-Edge Representation of Feature Maps—an Enlightenment From the Primate Visual SystemIEEE Transactions on Multimedia10.1109/TMM.2022.321647725(6958-6970)Online publication date: 1-Jan-2023
Zhou ZLi JQuan YXu R(2021)Image Quality Assessment Using Kernel Sparse CodingIEEE Transactions on Multimedia10.1109/TMM.2020.300147223(1592-1604)Online publication date: 1-Jan-2021
Günther RGuthe SGuthe MCunningham DBreuß MJoerg SInterrante V(2017)A visual model for quality driven refinement of global illuminationProceedings of the ACM Symposium on Applied Perception10.1145/3119881.3119893(1-8)Online publication date: 16-Sep-2017
Li ZChen YZhao YZhu LLv SLu J(2016)A New Method for Computed Tomography Angiography (CTA) Imaging via Wavelet Decomposition-Dependented Edge Matching InterpolationJournal of Medical Systems10.1007/s10916-016-0540-340:8(1-9)Online publication date: 1-Aug-2016
Sudeng Hu Lina Jin Hanli Wang Yun Zhang Sam Kwong Kuo C(2015)Compressed image quality metric based on perceptually weighted distortionIEEE Transactions on Image Processing10.1109/TIP.2015.248131924:12(5594-5608)Online publication date: 1-Dec-2015
Mourning CNykl SChelberg D(2011)An analysis of impostor based level of detail approximations for LIDAR dataProceedings of the 7th international conference on Advances in visual computing - Volume Part II10.5555/2045195.2045265(637-646)Online publication date: 26-Sep-2011
Reinhard EWard GPattanaik SDebevec P(2005)High Dynamic Range ImagingundefinedOnline publication date: 24-Aug-2005

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