CAJ | 학술논문

利用小波变换对图像进行降噪和增强处理,在MATLAB环境下,利用小波的自身特性,降低噪声对图像的影响,尽量保持图像本身的有用细节和边缘信息,保证图像的最佳效果.利用小波变换,采用不同的方法对图像进行仿真,通过对仿真结果进行比较,利用小波分析,图像在不同程度上得到优化,更能适应不同领域人们对图像信息的需求.
이용소파변환대도상진행강조화증강처리,재MATLAB배경하,이용소파적자신특성,강저조성대도상적영향,진량보지도상본신적유용세절화변연신식,보증도상적최가효과.이용소파변환,채용불동적방법대도상진행방진,통과대방진결과진행비교,이용소파분석,도상재불동정도상득도우화,경능괄응불동영역인문대도상신식적수구.
This article focuses on the wavelet transform in the application of image denoising and enhancement.in the environment of MATLAB, We can use wavelet's own characteristics to reduce impact of noise, at the same time, to keep the details of the image itself and save the useful information of it's edge for getting the best image.In this issue, we use wavelet transform and many different methods of image simulation are involved.By comparing the simulation results, the image using wavelet analysis has been optimized to some extent, and it can meet the needs of different areas of the image information.