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Study in restoring images from their degraded states has been an important research topic in image processing and has potential applications in complex pattern recognition. We propose in this paper a new adaptive image restoration method using the concept of random-function realizations in geostatistics. This conceptual framework allows us to derive the model means and variances in the context of...
In this paper, we propose two novel (non- parametric) statistical measures of image and video quality. Both of these are based on the fundamental notion of singular value decomposition, applied to local pixel and higher order information derived from the data. These methods enable measurement of similarity between images, and the measurement of image quality without a reference. A possible derivative...
Blurring artifacts occur in low bit-rate wavelet images or in video coding. They manifest themselves as blurred patches within textured regions. As such, it is possible to exploit this texture level correlation between adjacent image regions to reconstruct the lost texture. In order to automatically identify the blurred patches, and use valid source regions to draw textures from their surroundings...
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