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This paper presents an adaptive progressive image acquisition algorithm based on the concept of kernel construction. The algorithm takes the conventional route of blind progressive sampling to sample and reconstruct the ground truth image in an iterative manner. During each iteration, an equivalent kernel is built for each unsampled pixel to capture the spatial structure of its local neighborhood...
As the resolution of digital images increases, accessing raw image data from memory has become a major consideration during the design of image/video processing systems. This is due to the fact that the bandwidth requirement and energy consumption of such image accessing process has increased. Inspired by the successful application of progressive image sampling techniques in many image processing...
Domain specific knowledge is useful in image processing applications where the target image to process is known to be of a particular image class. It is commonly used as prior knowledge, to model structured image classes such as human faces in order to break limitations posed by various problems. This paper proposes to use domain specific codebook and corresponding sampling patterns learned from example...
Voltage fluctuation and voltage flicker as indexes of power quality (PQ) have been attracting more and more attentions. In this paper, a novel method based on the wavelet threshold de-noising technology and the Prony analysis for flicker measurement is introduced. Firstly, an improved wavelet threshold de-noising technology is used to pretreat the data of voltage flicker signal. Then the Prony algorithm...
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