Research On Application Of Wavelet Analysis In Image Denoising And Compression

The image is often corrupted by noise in its collection, acquisition or transmission, such as astronomy, medical, remote sensing imaging, and computer vision. The corrupted image is called noisy image. Because the noise is the main factor that influenced image quality and greatly affected to extract the information from it, it must be removed before it can be analyzed and utilized.If the requirement of high-speed and real-time transport and a great deal storage is put forward for image, the image data must be compressed. The goal of image coding study is to find the high compression ratio method, and the compressed image should have an appropriate signal to noise ratio. Furthermore it is required that the image distortion must be small in the process of compression, transmission and restoration.Wavelet analysis is local analysis in the time domain and frequency domain, and which represents the signal property using combination of the time domain and frequency domain. It is a useful tool to analyze the unstationary signal that implements multiscale analysis to the signal by the translation and dilation of the mother wavelet. So it can effectively extract information from signal. At present, wavelet analysis is international acknowledged advanced technology in the domain of information and signal processing. Meanwhile it is the front question for discuss and...