Search Results for author: A.C. Bovik

Found 3 papers, 1 papers with code

Image information and visual quality

no code implementations IEEE Transactions on Image Processing 2006 H.R. Sheikh, A.C. Bovik

Using these models, we previously presented an information fidelity criterion for image QA that related image quality with the amount of information shared between a reference and a distorted image.

Video Quality Assessment

Multiscale structural similarity for image quality assessment

2 code implementations The Thrity-Seventh Asilomar Conference on Signals, Systems & Computers 2004 Z. Wang, E.P. Simoncelli, A.C. Bovik

The structural similarity image quality paradigm is based on the assumption that the human visual system is highly adapted for extracting structural information from the scene, and therefore a measure of structural similarity can provide a good approximation to perceived image quality.

Image Generation Image Quality Assessment +1

Image quality assessment: from error visibility to structural similarity

no code implementations IEEE Transactions on Image Processing 2004 Zhou Wang, A.C. Bovik, H.R. Sheikh; E.P. Simoncelli

Objective methods for assessing perceptual image quality traditionally attempted to quantify the visibility of errors (differences) between a distorted image and a reference image using a variety of known properties of the human visual system.

Image Quality Assessment SSIM +1

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