Image Improvement by Using Noise Suppressing Unsharp Masking and Evaluation without Reference

Naoki Ono, Kiichi Urahama

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The technique of Unsharp Masking(UM) are often applied for improving the image quality. However, for images with added noises, UM causes the amplification of noise, which often makes the method not usable in practice. In this paper, we propose a new UM method with suppressing the noise amplification. The proposed method reduces noise amplification and permits to obtain perceptually pleasant results. Furthermore we show a method for evaluating the improvement after unsharp masking processes. The new UM method has parameters to be set in advance. The evaluation method can be used to set the parameters for obtaining well improved results.
Original languageEnglish
Title of host publicationProceedings of International Workshop on Advanced Image Technology (IWAIT) 2013
Pages1128-1133
Number of pages6
Publication statusPublished - Jan 2013

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    Ono, N., & Urahama, K. (2013). Image Improvement by Using Noise Suppressing Unsharp Masking and Evaluation without Reference. In Proceedings of International Workshop on Advanced Image Technology (IWAIT) 2013 (pp. 1128-1133)