Publications [#264439] of Sina Farsiu

Papers Published

1. Takeda, H; Farsiu, S; Milanfar, P, Deblurring using regularized locally adaptive kernel regression., IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol. 17 no. 4 (April, 2008), pp. 550-563, ISSN 1057-7149 [18390363], [doi]
   (last updated on 2024/12/31)

   Abstract:
   Kernel regression is an effective tool for a variety of image processing tasks such as denoising and interpolation [1]. In this paper, we extend the use of kernel regression for deblurring applications. In some earlier examples in the literature, such nonparametric deblurring was suboptimally performed in two sequential steps, namely denoising followed by deblurring. In contrast, our optimal solution jointly denoises and deblurs images. The proposed algorithm takes advantage of an effective and novel image prior that generalizes some of the most popular regularization techniques in the literature. Experimental results demonstrate the effectiveness of our method.

   Keywords:
   Algorithms* • Artifacts* • Computer Simulation • Image Enhancement • Image Interpretation, Computer-Assisted • Models, Statistical • Regression Analysis • Reproducibility of Results • Sensitivity and Specificity • Signal Processing, Computer-Assisted* • methods*