Ten lectures on wavelets
Wavelet-based color image compression: exploiting the contrast sensitivity function
IEEE Transactions on Image Processing
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
Sparse geometric image representations with bandelets
IEEE Transactions on Image Processing
Image information and visual quality
IEEE Transactions on Image Processing
A Statistical Evaluation of Recent Full Reference Image Quality Assessment Algorithms
IEEE Transactions on Image Processing
VSNR: A Wavelet-Based Visual Signal-to-Noise Ratio for Natural Images
IEEE Transactions on Image Processing
A perceptually motivated three-component image model-Part I: description of the model
IEEE Transactions on Image Processing
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It is a challenging work to find an efficient metric of image quality assessment, which is an important problem for many image processing tasks. In this paper, we propose a novel wavelet-based directional structural distortion model for image quality assessment, which explores the geometric structural features of natural image. The experimental results upon image database show that our proposed method is in accordance with characteristic of human visual system and has better consistency with the subjective assessment of human beings than current image quality assessment algorithms.