Department of Pattern Recognition

(eng): Image and video data acquired by portable devices such as mobile phones are degraded by noise and blur due to the small size of optical sensors in these devices. A wide range of image restoration methods exists, yet feasibility of these methods in portable platforms is not guaranteed due to limited hardware resources on such platforms. The paper addresses this problem by focusing on denoising algorithms. We have chosen two representatives of denoising methods with state-of-the-art performance, and propose different parallel implementations and algorithmic simplifications suitable for mobile phones. In addition, an extension to resolution enhancement is presented including both visual and quantitative comparisons. Analysis of the algorithms is carried out with respect to the computation time, power consumption and output image quality.