CAJ | 학술논문

遥感图像因其内容丰富、幅面较宽，对其去噪面临诸多挑战。利用图像块的统计特性是提高图像去噪性能的一条重要途径。图像块的统计特性有两类：基于待处理图像相似块上的内部统计特性和基于外部图像相似块上的外部统计特性。为了充分利用内部和外部统计特性各自对特定图像内容的去噪优势，提出了一种基于内容的自适应选择统计特性并用于图像去噪的方法。实验结果表明，提出的自适应选择和组合图像块统计特性的去噪方法能够显著提高图像去噪的性能。
요감도상인기내용봉부、폭면교관，대기거조면림제다도전。이용도상괴적통계특성시제고도상거조성능적일조중요도경。도상괴적통계특성유량류：기우대처리도상상사괴상적내부통계특성화기우외부도상상사괴상적외부통계특성。위료충분이용내부화외부통계특성각자대특정도상내용적거조우세，제출료일충기우내용적자괄응선택통계특성병용우도상거조적방법。실험결과표명，제출적자괄응선택화조합도상괴통계특성적거조방법능구현저제고도상거조적성능。
Since remote sensing image has rich content and wide breadth,its denoising is faced with many challenges. It is an important way to improve image denoising performance by using the statistics characteristics of image blocks. The statistics characteristics of the image blocks are the internal statistics characteristic based on similar blocks of the pending processing image and the external statistics characteristic based on similar blocks of external image. To make the full use of denoising advantages of the two characteristics for the respective specific image contents,a content?based image denoising method with adaptive selec?tion and statistics characteristic is proposed. The experimental results show that this method can improve image denoising perfor?mance observably.