A Modified Bilateral Filter by p-Norm for Noise Reduction
碩士 === 玄奘大學 === 資訊管理學系碩士班 === 103 === Noise reduction is an important stage during the image transporting pipeline. Detecting noise in an image is unexpected. A good noise reduction method can reduce the noise level and preserve the most of the original parts of the image. In this thesis, we make an...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2015
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| Online Access: | http://ndltd.ncl.edu.tw/handle/88184858081854026622 |
| Summary: | 碩士 === 玄奘大學 === 資訊管理學系碩士班 === 103 === Noise reduction is an important stage during the image transporting pipeline. Detecting noise in an image is unexpected. A good noise reduction method can reduce the noise level and preserve the most of the original parts of the image. In this thesis, we make an effort to find a good filter to reduce the noise. First some noise types and basic noise reduction methods. Usually the mean filter is a good reduction noise function, but it may blur the image. The classical bilateral filter is not a good Method to remove the salt-and-pepper noise. We modified the photometric functions and geometric functions with the p-norm of the bilateral filter. We demonstrate our proposed methods to compare with the classical Gaussian bilateral filter.
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