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Information Journal Paper

Title

Multi Image Super Resolution in Presence of Noise by Determining Weighting Coefficients in Map Estimator

Pages

  23-38

Abstract

 In order to enhance image resolution and overcome the physical limitations of imaging systems, image Super-resolution (SR) is proposed. In SR technique, a high resolution (HR) image is produced by fusing a sequence of low-resolution (LR) images. Since many recent approaches seeking an SR algorithm suppresses noise whilepreserving edges, in this paper, based-upon the statistical techniques, we have proposed an adaptive algorithmwhich is robust in the presenceof Gaussian noise-which has a high detrimental effect on image quality-and moreover, shows a good performance comparing to the other existing methods. In this adaptive algorithm we introducea set of weighting coefficients, which control the contribution between the dataerror and regularization terms in each of the estimated HR pixels. These coefficients are determined according to the neighbors information of the estimated pixel. Experimental results from both synthetic and real images confirm that theproposed algorithm outperforms the other methods.

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    APA: Copy

    Mofidi, Nafiseh, & AHMADYFARD, ALIREZA. (2017). Multi Image Super Resolution in Presence of Noise by Determining Weighting Coefficients in Map Estimator. MACHINE VISION AND IMAGE PROCESSING, 3(2 ), 23-38. SID. https://sid.ir/paper/265729/en

    Vancouver: Copy

    Mofidi Nafiseh, AHMADYFARD ALIREZA. Multi Image Super Resolution in Presence of Noise by Determining Weighting Coefficients in Map Estimator. MACHINE VISION AND IMAGE PROCESSING[Internet]. 2017;3(2 ):23-38. Available from: https://sid.ir/paper/265729/en

    IEEE: Copy

    Nafiseh Mofidi, and ALIREZA AHMADYFARD, “Multi Image Super Resolution in Presence of Noise by Determining Weighting Coefficients in Map Estimator,” MACHINE VISION AND IMAGE PROCESSING, vol. 3, no. 2 , pp. 23–38, 2017, [Online]. Available: https://sid.ir/paper/265729/en

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