A Method of CCD Noise Removal in Digital Images
In this paper, a method for removing noise from digital images corrupted by imaging device is proposed. The CCD noise model is a combination of a mixture of a fixed-pattern noise and multiplicative Gaussian noise and a mixture of signal-independent noise. Based on the model, an adaptive de-noising algorithm to restore images contaminated by the CCD noise sources is developed. Because the great correlation exists among the wavelet coefficients, by doing the multi-level wavelet decomposition to the image and computing the average value of the images wavelet coefficients, which can present the singularity of an image, the window size of the adaptive filter can adjust automatically. The scheme will sharpen the edges and smooth the uniform area at the same time. In the end, experiments are done in images with the synthetic noise and the results indicate the de-noising method is efficient.
CCO noise image de-noising image restoration wavelets
Jingjing WU Zhenchuan ZHANG Yong TIAN
Northeastern University, China
国际会议
2nd IEEE Conference on Industrial Electronics and Applications(ICIEA 2007)(第二届IEEE工业电子与应用国际会议)
哈尔滨
英文
2007-05-23（万方平台首次上网日期，不代表论文的发表时间）