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Solving Adaptive Image Restoration Problems via a Modified Projection Algorithm

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  • Hao Yang
  • Xueping Luo
  • Leiting Chen

Abstract

We introduce a new general TV regularizer, namely, generalized TV regularization, to study image denoising and nonblind image deblurring problems. In order to discuss the generalized TV image restoration with solution-driven adaptivity, we consider the existence and uniqueness of the solution for mixed quasi-variational inequality. Moreover, the convergence of a modified projection algorithm for solving mixed quasi-variational inequalities is also shown. The corresponding experimental results support our theoretical findings.

Suggested Citation

  • Hao Yang & Xueping Luo & Leiting Chen, 2016. "Solving Adaptive Image Restoration Problems via a Modified Projection Algorithm," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-11, April.
    • Handle: RePEc:hin:jnlmpe:6132356
    DOI: 10.1155/2016/6132356
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