CAJ | 학술논문

针对Tetrolet变换算法对图像去噪后存在方块效应的缺陷，文中对Tetrolet变换算法进行了扩展和改进，并引入移位(Cycle Spinning)来有效消除Tetrolet变换算法中的方块效应。仿真结果表明，所提出的算法不仅能有效去除噪声，而且可得到更高的峰值信噪比，提高了图像的主客观质量。去噪后图像保留了原始图像的边缘和细节等局部特征，较为平滑，且方块效应得到了一定的改善和抑制，因而该算法是有效可行的。
침대Tetrolet변환산법대도상거조후존재방괴효응적결함，문중대Tetrolet변환산법진행료확전화개진，병인입이위(Cycle Spinning)래유효소제Tetrolet변환산법중적방괴효응。방진결과표명，소제출적산법불부능유효거제조성，이차가득도경고적봉치신조비，제고료도상적주객관질량。거조후도상보류료원시도상적변연화세절등국부특정，교위평활，차방괴효응득도료일정적개선화억제，인이해산법시유효가행적。
In order to reduce the blocking artifacts resulted from Ttetrolet transform algorithm, Tetrolet transform was improved and Cycle Spinning was employed to avoid the blocking artifacts in this paper. And thus the improved Tetrolet transform was introduced and performed for image denoising. Some numerical experiments show the effectiveness and superiority of our technique. Compared with typical Tetrolet transform, the denoised images by our method are smoother, and the blocking artifacts is improved to some extent and inhibition. At the same time it can preserve more significant information of original images, such as local features, including image edges and image details. In addition, the proposed method gives better performance in Peak Signal to Noise Ratio (PSNR) and improves the quality of subjective and objective of image. Experimental results show that the proposed algorithm is effective and feasible, and can perform better on most data sets.