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In this paper, we put forward a novel method in single image detail enhancement — residual homogeneity (RH). Residual homogeneity is a statistic result when we test different kinds of blocks in database, finding that blocks in residual images are with similar structure, that is, they are homogenous. Based on residual homogeneity, we make a simple assumption that detail layer of a single image is residual...
A low complexity but effective method in image and video detail enhancement – in-place similarity is proposed. In-place similarity is the statistic result of different kinds of nature image patches when similarity measurement is done in super resolution research, finding that patches in the upscale image have a good match around its original location in the corresponding lower ones. On the basis of...
The challenge of image impulse noise removal is to restore spatial details from damaged pixels using remaining ones in random locations. Most existing methods use all uncontaminated pixels within a local window to estimate the centred noisy one via a statistic way. These kinds of methods have two defects. First, all noisy pixels are treated as independent individuals and estimated by their neighbours...
In this paper, a super resolution (SR) and an enhancement algorithm are put forward. The SR method is proposed by the assumption of local self example model with nonlocal constraints, and the detail enhancement method is raised by analyzing 2-order holomorphic complete differential kernel of a single image. For the inappropriate frequency component in the SR process, we design a nonlocal constraint...
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