Simultaneous cartoon-plus-texture image deconvolution by using variational image decomposition

Huasong Chen; Keding Yan; Jun Zhang; Zhenhua Li

doi:10.1117/12.2070311

29 October 2014 Simultaneous cartoon-plus-texture image deconvolution by using variational image decomposition

Huasong Chen, Keding Yan, Jun Zhang, Zhenhua Li

Proceedings Volume 9273, Optoelectronic Imaging and Multimedia Technology III; 92732Q (2014) https://doi.org/10.1117/12.2070311
Event: SPIE/COS Photonics Asia, 2014, Beijing, China

Abstract

Real images usually have two layers, namely, cartoons(the piece-wise smooth part of image) and textures(the oscillating pattern part of the image). In this paper, we solve the challenging image deconvolution problems by using variation image decomposition method which can regularize the cartoon with total variation and texture in G space respectively. Different from existing schemes in the literature which can only recover the smooth structure of the image, our deconvolution method can not only restore the smooth part of image but also recover the detailed oscillating part of the image. Numerical simulation examples are given to demonstrate the applicability and usefulness of our proposed algorithms in image deconvolution.

Citation Download Citation

Huasong Chen, Keding Yan, Jun Zhang, and Zhenhua Li "Simultaneous cartoon-plus-texture image deconvolution by using variational image decomposition", Proc. SPIE 9273, Optoelectronic Imaging and Multimedia Technology III, 92732Q (29 October 2014); https://doi.org/10.1117/12.2070311

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