Resolution and quality scalable spread spectrum image watermarking
MM&Sec '05 Proceedings of the 7th workshop on Multimedia and security
Backward compatible high dynamic range MPEG video compression
ACM SIGGRAPH 2006 Papers
High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting (The Morgan Kaufmann Series in Computer Graphics)
A new approach to pre-processing digital image for wavelet-based watermark
Journal of Computational and Applied Mathematics
A patch-based structural masking model with an application to compression
Journal on Image and Video Processing - Special issue on patches in vision
A methodology for deriving objective image comparison metrics
SIP '07 Proceedings of the Ninth IASTED International Conference on Signal and Image Processing
Feature correlation evaluation approach for iris feature quality measure
Signal Processing
Improved Digital Watermarking Using DWT Masking
PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Multiresolution HVS and statistically based image coding scheme
Multimedia Tools and Applications
Content-partitioned structural similarity index for image quality assessment
Image Communication
A flexible floating-point wavelet transform and wavelet packet processor
Proceedings of the Conference on Design, Automation and Test in Europe
Scalable and credible video watermarking towards scalable video coding
PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
Perceptual visual quality metrics: A survey
Journal of Visual Communication and Image Representation
Full-Reference Image Quality Metrics: Classification and Evaluation
Foundations and Trends® in Computer Graphics and Vision
Multiresolution, perceptual and vector quantization based video codec
Multimedia Tools and Applications
A Wavelet Perspective on Variational Perceptually-Inspired Color Enhancement
International Journal of Computer Vision
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We describe a model of the human visual system (HVS) based on the wavelet transform. This model is largely based on a previously proposed model, but has a number of modifications that make it more amenable to potential integration into a wavelet based image compression scheme. These modifications include the use of a separable wavelet transform instead of the cortex transform, the application of a wavelet contrast sensitivity function (CSF), and a simplified definition of subband contrast that allows one to predict the noise visibility directly from the wavelet coefficients. Initially, we outline the luminance, frequency, and masking sensitivities of the HVS and discuss how these can be incorporated into the wavelet transform. We then outline a number of limitations of the wavelet transform as a model of the HVS, namely the lack of translational invariance and poor orientation sensitivity. In order to investigate the efficacy of this wavelet based model, a wavelet visible difference predictor (WVDP) is described. The WVDP is then used to predict visible differences between an original and compressed (or noisy) image. Results are presented to emphasize the limitations of commonly used measures of image quality and to demonstrate the performance of the WVDP. The paper concludes with suggestions on how the WVDP can be used to determine a visually optimal quantization strategy for wavelet coefficients and produce a quantitative measure of image quality