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International Conference on Computer and Electrical Engineering 4th (ICCEE 2011)

Jianhong Zhou
Jianhong Zhou
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ASME Press
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In the modern age digital images plays important role in the communication purpose. But the image obtained after transmission is often corrupted with noise. The received image needs processing before it can be used for different applications. Image denoising involves the manipulation of the image data to produce a visually high quality image. Wavelet transforms enable us to represent signals with a high degree of scarcity. This is the principle behind a non-linear wavelet based signal estimation technique known as wavelet denoising. Wavelet thresholding is a signal estimation technique that exploits the capabilities of wavelet transform for signal denoising. The...

Key Words
1. Introduction
2. Denoising Concept
3. Wavelet Based Image Denoising
4. Experimental Results
5. Conclusion
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