GUI based Performance Comparison of Noise Reduction Techniques based on Wavelet Transform

GUI based Performance Comparison of Noise Reduction Techniques based on Wavelet Transform

Abstract:

Wavelet transform is an important tool used in many application areas. This paper proposed the analysis of noise reduction techniques which are based on wavelet transform. In this paper three noise reduction techniques based on wavelet transform are described. These methods are Wavelet Split Coefficient, Hard Thresholding and Soft Thresholding. MATLAB GUI is developed for visualization of results which are obtained by using different techniques. With the help of these methods speech enhancement can be achieved. Due to this quality of speech can be improved with high efficiency. This wavelet transform can also be used to remove noise and blurring present in the image. In other words it is also effective in image processing to remove noise

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