CAJ | 학술논문

　　在提出的三子集划分的灰度图像分层表示（TSPL）算法的基础上，主要研究对常见的椒盐噪声的去除。TSPL算法是一种新型的数字图像变换方法，其核心思想是用一系列具有解析形式的灰度函数逼近不规则的原图像灰度函数。在此分别处理由TSPL算法生成的各层基函数图像，将其划分为A，B，C三个区并将每个像素点赋值为0，1，2；结合图像椒盐噪声的特点，利用投票策略处理每个像素点的8?邻域，从而达到椒盐噪声去除的目的；最终通过TSPL算法对基函数重构来恢复原图像。采用在人类视觉系统的前提下提出的基于结构相似性的方法MSSIM算法作为图像质量评价的标准，实验结果表明，在主客观方面，该方法在去除噪声和保留图像细节方面明显优于传统的中值滤波方法。
　　재제출적삼자집화분적회도도상분층표시（TSPL）산법적기출상，주요연구대상견적초염조성적거제。TSPL산법시일충신형적수자도상변환방법，기핵심사상시용일계렬구유해석형식적회도함수핍근불규칙적원도상회도함수。재차분별처이유TSPL산법생성적각층기함수도상，장기화분위A，B，C삼개구병장매개상소점부치위0，1，2；결합도상초염조성적특점，이용투표책략처리매개상소점적8?린역，종이체도초염조성거제적목적；최종통과TSPL산법대기함수중구래회복원도상。채용재인류시각계통적전제하제출적기우결구상사성적방법MSSIM산법작위도상질량평개적표준，실험결과표명，재주객관방면，해방법재거제조성화보류도상세절방면명현우우전통적중치려파방법。
The removal of salt?and?pepper noise from the images is researched in this paper base on the triple?subset parti?tion based image layer?presentation(TSPL)algorithm proposed before. TSPL algorithm is a new image transformation method. The key concept of the algorithm is that the original image grayscale function,which is comparatively irregular,is approximated by a series of high?regular grayscale functions. The base functions generated by TSPL algorithm are processed respectively,divid?ing each of them to A,B and C partitions,and assigning a value of 0,1 or 2 for each pixel. In combination with characteristics of salt?and?pepper noise,the voting strategy is adopted to process the 8?neighbor of each pixel for removing salt?and?pepper noise. Finally the primary function is reconstructed by TSPL algorithm to resume the original image. MSSIM algorithm based on human vision system and structural similarity is adopted as the standard for image quality evaluation. Experiment results show that,in both objective or subjective aspects,the new approach is much better than the traditional median filtering method, which can remain detailed information of original images while removing the noise.