Quality-aware images
We propose the concept of quality-aware image , in which certain extracted features of the original (high-quality) image are embedded into the image data as invisible hidden messages. When a distorted version of such an image is received, users can decode the hidden messages and use them to provide...
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| Veröffentlicht in: | IEEE transactions on image processing 2006-06, Vol.15 (6), p.1680-1689 |
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| container_title | IEEE transactions on image processing |
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| creator | Zhou Wang Guixing Wu Sheikh, H.R. Simoncelli, E.P. En-Hui Yang Bovik, A.C. |
| description | We propose the concept of quality-aware image , in which certain extracted features of the original (high-quality) image are embedded into the image data as invisible hidden messages. When a distorted version of such an image is received, users can decode the hidden messages and use them to provide an objective measure of the quality of the distorted image. To demonstrate the idea, we build a practical quality-aware image encoding, decoding and quality analysis system, which employs: 1) a novel reduced-reference image quality assessment algorithm based on a statistical model of natural images and 2) a previously developed quantization watermarking-based data hiding technique in the wavelet transform domain. |
| doi_str_mv | 10.1109/TIP.2005.864165 |
| format | Article |
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When a distorted version of such an image is received, users can decode the hidden messages and use them to provide an objective measure of the quality of the distorted image. To demonstrate the idea, we build a practical quality-aware image encoding, decoding and quality analysis system, which employs: 1) a novel reduced-reference image quality assessment algorithm based on a statistical model of natural images and 2) a previously developed quantization watermarking-based data hiding technique in the wavelet transform domain.</description><identifier>ISSN: 1057-7149</identifier><identifier>EISSN: 1941-0042</identifier><identifier>DOI: 10.1109/TIP.2005.864165</identifier><identifier>PMID: 16764291</identifier><identifier>CODEN: IIPRE4</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Algorithm design and analysis ; Algorithms ; Applied sciences ; Assessments ; Coding, codes ; Construction ; Data Compression - methods ; Data mining ; Decoding ; Detection, estimation, filtering, equalization, prediction ; Distortion ; Distortion measurement ; Exact sciences and technology ; Feature extraction ; Generalized Gaussian density (GGD) ; Image analysis ; Image coding ; image communication ; Image Enhancement - methods ; Image Interpretation, Computer-Assisted - methods ; Image processing ; Image quality ; image quality assessment ; image watermarking ; information hiding ; Information, signal and communications theory ; Messages ; natural image statistics ; Quality Control ; quality-aware image ; Quantization ; reduced-reference image quality assessment ; Sampling, quantization ; Signal and communications theory ; Signal processing ; Signal Processing, Computer-Assisted ; Signal, noise ; Telecommunications and information theory ; Watermarking ; Wavelet transforms</subject><ispartof>IEEE transactions on image processing, 2006-06, Vol.15 (6), p.1680-1689</ispartof><rights>2006 INIST-CNRS</rights><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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When a distorted version of such an image is received, users can decode the hidden messages and use them to provide an objective measure of the quality of the distorted image. To demonstrate the idea, we build a practical quality-aware image encoding, decoding and quality analysis system, which employs: 1) a novel reduced-reference image quality assessment algorithm based on a statistical model of natural images and 2) a previously developed quantization watermarking-based data hiding technique in the wavelet transform domain.</abstract><cop>New York, NY</cop><pub>IEEE</pub><pmid>16764291</pmid><doi>10.1109/TIP.2005.864165</doi><tpages>10</tpages></addata></record> |
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| subjects | Algorithm design and analysis Algorithms Applied sciences Assessments Coding, codes Construction Data Compression - methods Data mining Decoding Detection, estimation, filtering, equalization, prediction Distortion Distortion measurement Exact sciences and technology Feature extraction Generalized Gaussian density (GGD) Image analysis Image coding image communication Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Image processing Image quality image quality assessment image watermarking information hiding Information, signal and communications theory Messages natural image statistics Quality Control quality-aware image Quantization reduced-reference image quality assessment Sampling, quantization Signal and communications theory Signal processing Signal Processing, Computer-Assisted Signal, noise Telecommunications and information theory Watermarking Wavelet transforms |
| title | Quality-aware images |
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