Title :
Quality-aware images
Author :
Wang, Zhou ; Wu, Guixing ; Sheikh, Hamid Rahim ; Simoncelli, Eero P. ; Yang, En-Hui ; Bovik, Alan Conrad
Author_Institution :
Center for Neural Sci., New York Univ., NY, USA
fDate :
6/1/2006 12:00:00 AM
Abstract :
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.
Keywords :
data compression; feature extraction; image coding; watermarking; feature extraction; hidden messages; image coding; image quality assessment algorithm; quality-aware images; watermarking-based data hiding technique; Algorithm design and analysis; Data mining; Decoding; Distortion measurement; Feature extraction; Image analysis; Image coding; Image quality; Quantization; Watermarking; Generalized Gaussian density (GGD); image communication; image quality assessment; image watermarking; information hiding; natural image statistics; quality-aware image; reduced-reference image quality assessment; Algorithms; Data Compression; Image Enhancement; Image Interpretation, Computer-Assisted; Quality Control; Signal Processing, Computer-Assisted;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2005.864165
