The visible differences predictor: an algorithm for the assessment of image fidelity
Digital images and human vision
On-Line Adaptation in Image Coding with a 2-D Tarp Filter
DCC '02 Proceedings of the Data Compression Conference
Radiometric Compensation in a Projector-Camera System Based Properties of Human Vision System
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 04
Optimum Detection for Spread-Spectrum Watermarking That Employs Self-Masking
IEEE Transactions on Information Forensics and Security
Efficient spatial image watermarking via new perceptual masking and blind detection schemes
IEEE Transactions on Information Forensics and Security
Visibility of wavelet quantization noise
IEEE Transactions on Image Processing
A wavelet visible difference predictor
IEEE Transactions on Image Processing
Image quality assessment based on a degradation model
IEEE Transactions on Image Processing
Locally adaptive perceptual image coding
IEEE Transactions on Image Processing
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
Dynamic contrast-based quantization for lossy wavelet image compression
IEEE Transactions on Image Processing
Robust Rate-Control for Wavelet-Based Image Coding via Conditional Probability Models
IEEE Transactions on Image Processing
Efficient Entropy Estimation Based on Doubly Stochastic Models for Quantized Wavelet Image Data
IEEE Transactions on Image Processing
VSNR: A Wavelet-Based Visual Signal-to-Noise Ratio for Natural Images
IEEE Transactions on Image Processing
Wavelet filter evaluation for image compression
IEEE Transactions on Image Processing
A new, fast, and efficient image codec based on set partitioning in hierarchical trees
IEEE Transactions on Circuits and Systems for Video Technology
Oblivious Spatio-Temporal Watermarking of Digital Video by Exploiting the Human Visual System
IEEE Transactions on Circuits and Systems for Video Technology
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The ability of an image region to hide or mask a given target signal continues to play a key role in the design of numerous image processing and vision systems. However, current state-of-the-art models of visual masking have been optimized for artificial targets placed upon unnatural backgrounds. In this paper, we (1) measure the ability of natural-image patches in masking distortion; (2) analyze the performance of a widely accepted standard masking model in predicting these data; and (3) report optimal model parameters for different patch types (textures, structures, and edges). Our results reveal that the standard model of masking does not generalize across image type; rather, a proper model should be coupled with a classification scheme which can adapt the model parameters based on the type of content contained in local image patches. The utility of this adaptive approach is demonstrated via a spatially adaptive compression algorithm which employs patch-based classification. Despite the addition of extra side information and the high degree of spatial adaptivity, this approach yields an efficient wavelet compression strategy that can be combined with very accurate rate-control procedures.