CAJ | 학술논문

图像融合是将两幅或两幅以上由不同传感器在同一时间或不同时间获取的关于某个具体场景的图像或图像序列信息融合为一幅图像，使得融合图像更有利于人们分析和理解。基于目前经典的图像融合方法的基础，提出一种新的基于稀疏表示的自适应图像融合算法。首先根据训练的超完备字典将两幅源图像表示为两组稀疏系数，然后根据系数的特征自适应地选取融合规则对系数进行融合，最后由融合系数和字典进行重构得到融合图像。该算法在稀疏表示的过程中能够有效地避免产生块效应且能去除噪声，从而提高图像质量。实验结果表明该方法在主观和客观评价上均优于其他算法。
도상융합시장량폭혹량폭이상유불동전감기재동일시간혹불동시간획취적관우모개구체장경적도상혹도상서렬신식융합위일폭도상，사득융합도상경유리우인문분석화리해。기우목전경전적도상융합방법적기출，제출일충신적기우희소표시적자괄응도상융합산법。수선근거훈련적초완비자전장량폭원도상표시위량조희소계수，연후근거계수적특정자괄응지선취융합규칙대계수진행융합，최후유융합계수화자전진행중구득도융합도상。해산법재희소표시적과정중능구유효지피면산생괴효응차능거제조성，종이제고도상질량。실험결과표명해방법재주관화객관평개상균우우기타산법。
Image fusion means combining two or more images or image sequence information about one particular scene taken by different sensors either simultaneously or unsimultaneously,so that the fused image is more analyzable and comprehensible.On the basis of present classical image fusion methods,the paper proposes a new sparse representation based adaptive image fusion algorithm.The method firstly presents two source images as two groups of sparse coefficients by trained over-completed dictionary;then according to coefficient characteristics adaptively chooses fusion rules to fuse coefficients;finally reconstructs fused coefficients and dictionary to obtain the fused image.During sparse representation process the algorithm can effectively avoid the generation of block-effect and can eliminate noises;therefore the image quality is improved.Experimental results show that the proposed method is superior to the other algorithms either at subjective or objective evaluations.