Region-Adaptive Image Restoration Using Wavelet Denoising Technique

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概要

• 論文の詳細を見る

• Space-variant approaches subject to local image characteristics are useful in practical image restoration because many natural images are nonstationary. Motivated by the success of denoising approaches in the wavelet domain, we propose a region-adaptive restoration approach which adopts a wavelet denoising technique in flat regions after an under-regularized constrained least squares restoration. Experimental results verify that this approach not only improves image quality in mean square error but also contributes to ringing reduction.

• 一般社団法人電子情報通信学会の論文
• 2002-01-01

著者

• Yoshida Yasuo

  The Department Of Electronics And Information Science Kyoto Institute Of Technology

• LU Jianyin

  the Department of Electronics and Information Science, Kyoto Institute of Technology

• Lu Jianyin

  The Department Of Electronics And Information Science Kyoto Institute Of Technology

関連論文

• Generation of Random Images with Modified Laplace Distributions
• Parameter Estimation of Uniform Image Blur Using DCT (Special Section of Letters Selected from the 1993 IEICE Spring Conference)
• Region-Adaptive Image Restoration Using Wavelet Denoising Technique

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