Quality measurement for monochrome compressed images in the past 25 years
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 04
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
An SVD-based grayscale image quality measure for local and global assessment
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
A distortion measure for blocking artifacts in images based on human visual sensitivity
IEEE Transactions on Image Processing
A perceptually tuned subband image coder based on the measure of just-noticeable-distortion profile
IEEE Transactions on Circuits and Systems for Video Technology
Image quality assessment based on included angle cosine and discrete 2-D wavelet transform
CCDC'09 Proceedings of the 21st annual international conference on Chinese Control and Decision Conference
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Objective image quality assessment (QA), which automatically evaluates the image quality consistently with human perception, is essentially important for numerous image and video processing applications. We propose a new objective QA method for full reference model based on the energy of structural distortion (ESD). Firstly, we collect the characteristics of the structural information by the normalization processing for the reference image. Secondly, the information of ESD is gained by projecting the image onto the characteristic signal of the structural information independently. Finally the objective quality score is obtained by computing the differences of ESD between the reference and distorted images. In this paper, we propose one implementation with simple parameters for our image QA. Experimental results show that the proposed method is well consistent with the subjective quality score.