Just-noticeable difference estimation with pixels in images
Journal of Visual Communication and Image Representation
A perceptually optimized JPEG-LS coder for color images
SPPR'07 Proceedings of the Fourth conference on IASTED International Conference: Signal Processing, Pattern Recognition, and Applications
No-reference noticeable blockiness estimation in images
Image Communication
Locally Adaptive Perceptual Compression for Color Images
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Support vector regression based image denoising
Image and Vision Computing
A perceptually optimized JPEG-LS coder for color images
SPPRA '07 Proceedings of the Fourth IASTED International Conference on Signal Processing, Pattern Recognition, and Applications
Document image analysis: issues, comparison of methods and remaining problems
Artificial Intelligence Review
Better use of human visual model in watermarking based on linear prediction synthesis filter
IWDW'04 Proceedings of the Third international conference on Digital Watermarking
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A spatial noise shaping (SNS) method based on human visual sensitivity is presented. The method exploits the capability of frequency domain linear prediction for spatial envelope retrieval. It effectively shapes (or hides) the noise of an image in areas which are not sensitive to human vision so that the resulting image is more pleasant to human eyes. The noise comes from the processing of the image, and it can be either separable like the additive noise pattern in image watermarking or nonseparable like the quantization noise in image coding. An application of the algorithm is demonstrated in the paper by using it to enhance image coders. Images decoded from the SNS incorporated coders have superior perceived quality than those without using SNS.