小波變換在圖像去噪方面的應(yīng)用研究.pdf

1、上海交通大學(xué)碩士學(xué)位論文小波變換在圖像去噪方面的應(yīng)用研究姓名：顧曉芳申請(qǐng)學(xué)位級(jí)別：碩士專業(yè)：電子與信息工程指導(dǎo)教師：周源華20040601上海交通大學(xué)碩士學(xué)位論文 IITHE APPLICATION OF WAVELET TRANSFORM TO IMAGE DE- NOISING ABSTRACT The wavelet transformation is a new technique which was develo

2、ped in these years, Since the past decade, wavelet transformation have been used in various signal and image processing tasks, such as for singularity/edge detection and image denoising. Because of the good loc

3、alization performances of time and frequency field, wavelet transformation gets a common use in image denoising. With the inevitable presence of noise in these real-world applications, empirical wavelet coefficients w

4、ith small magnitudes are likely to contain more noise than information. A simple idea is then to replace the small wavelet coefficients by zero, in the hope of recovering a less noisy signal after performing the i

5、nverse wavelet transform. This paper, the basic ideas applied wavelet theory to image denoising is proposed by studying principle of wavelet transformation and algorithm structure of dispersed wavelet transform