An Improved Total Variation for Image Denoising Based on Compressed Sensing

This paper uses the improved total variation for image denosing based on compressed sending. In this method, nosiy image is transformed and sensed through a Gaussian random projection, then original images is reconstructed using the total variation reconstruction algorithms. Simulation experiments show that comparing to the original method, the method can eliminate the noise in image effectively and get a higher peak signal to noise ratio, and the image detail can be well protected and proves the effeciency of the algorithm.