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In this paper, a novel four-component weighted gradient-based structural similarity metric is proposed, according to the effects on the edges, smooth and texture for different types of distortion, by adaptively adjusting the weights of four components (strong edge, weak edge, texture region, and smooth region). Experiments show that the proposed metric can provide better assessment performance compared...
In this paper, an objective assessment model based on three-component weighted structural similarity is presented for stereoscopic image. Since different distortions affect details of stereoscopic image differently, the image is classified into three kinds of regions including edge, smooth and texture regions so that different weights are associated to different regions to assess distorted stereoscopic...
Three-dimensional video (3DV) technology is becoming increasingly popular, as it can provide high quality and immersive experience to end users. Huge amount of data for storage and transmission is an important problem to be solved. In this paper, an asymmetric MVC method is proposed. Color correction is first performed as a preprocessing step to provide consistent color information among views. Then,...
Block-based discrete cosine transform (BDCT) is an important tool in the image and video compression. Blocking artifacts caused by BDCT may be noticeable in the decoded image under low bit-rate conditions. Measuring blocking artifacts is of great significance in the evaluation of image and video image. To ensure reliability of the model outputs, a new no-reference blocking artifacts metric is proposed...
Image quality assessment is an important problem image processing. In this paper, an image evaluation algorithm based on fuzzy theory is proposed to predict the quality level of right view image in compressed stereoscopic video. Block-based disparity estimation between stereoscopic videos is used in evaluation processing. With the help of inter-view correlation, the reconstructed left view at decoder...
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