Research And Implementation Of Earthquake Image Denoising Algorithm

The actual image was generally due to interference which contain some noise. Noise caused many reasons, such as sensitive components of internal noise, photosensitive materials particles noise, thermal noise, electrical mechanical movement generated jitter noise, transmission channel interference noise, quantization noise. These noise worsened the image quality, image blurring, and even submerged characteristics to the analysis difficult.Image denoising-smoothing objective is to reduce and eliminate the noise in the image, in order to improve image quality, to the characteristics of the images collected for analysis. For a long time, people have been paying many efforts to try to use the information to find the edge region, leading to the identification and interpretation of image analysis. In different applications, the people to achieve different objectives, and therefore also on the edge of the requirements of different targets marginalized, or even image texture noise may become a meaningful edge. Although many have developed image denoising-smoothing algorithm, but it does not have a generally applicable to all kinds of images effective way. Therefore, in accordance with the specific application requirements, design a new image denoising smoothing method or improve existing methods, in order to obtain satisfactory results still on the verge of image processing is a focus in the study.This paper firstly researched into the classic image denoising-smoothing method, and linear and non-linear filtering technology and its application in image denoising-smoothing, presented a self-adaptive denoising-smoothing algorithm which can maintain image details, and compared each algorithm's advantages and disadvantages in image denoising-smoothing through theoretical analysis and simulation. Secondly, this paper improved the method of combining median filtering with wavelet denoising based on the research of the image wavelet denoising algorithm. Finally, on the basis of the above, the various algorithms, which were improved and presented, were applied into the project, and a coherent slice fault polygon detection system was designed and implemented. The result that the fault polygon detected out by the system was position accurate, continuous, smooth, rich details of the edge, and the border showing a single pixel width was verified through practice. The system achieved good test results in the explaining and application of 3D seismic in oilfield, and improved the precision and efficiency of fault detection.