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Compressed sensing (CS) is a mathematical theory of measuring and keeping the vital
part of the signal during acquisition, at the cost which increasing further reconstruction
procedure. With quantized measurement it provides robust reconstruction. In this paper, we
propose sensing and reconstruction approach compiling with the high dimensionality o...
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Context 1
... are displayed to the group of 10 people with very miniature knowledge of image processing and are asked to give marks out of 10. In general a poor image is given 8 or more marks if it is excellent , 6 marks if good, 5 marks if average and 2 marks if poor [18]. The encoder model, ABO encoding and the corresponding reconstructions are shown in fig. 5a, 5b and 5c in the spatial domain. The above table gives us a brief idea about the relation between the bits per pixel (bpp), no. of randomly filtered image at output of encoder and the peak signal to noise ratio (PSNR) keeping no. of iterations constant. As we increase the bpp the corresponding PSNR increases and the mean square error ...
