Quality-Aware Images
Z Wang, G Wu, H R Sheikh, E P Simoncelli, E Yang, and A C Bovik
Published in:
IEEE Transactions on Image Processing
15(6): 1680--1689, June 2006
© IEEE Signal Processing Society.
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,1
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.
Reprint (1.3M, pdf) |
Software & further description | Other Online Publications