CAJ | 학술논문

块效应是由于对图像做离散余弦变换(DCT)，在量化过程中丢失边缘的高频信息，从而导致在重建图像中块边界处出现不连续的跳变的现象。本文针对图像的块效应原理，用 Contourlet 变换对图像进行分解，将得到的Contourlet系数通过去块效应算法进行更新，并用得到的新系数进行图像重构。实验结果表明，该算法保留了更多原图像的细节部分，在处理图像边缘信息方面比传统方法有更好的恢复效果。
괴효응시유우대도상주리산여현변환(DCT)，재양화과정중주실변연적고빈신식，종이도치재중건도상중괴변계처출현불련속적도변적현상。본문침대도상적괴효응원리，용 Contourlet 변환대도상진행분해，장득도적Contourlet계수통과거괴효응산법진행경신，병용득도적신계수진행도상중구。실험결과표명，해산법보류료경다원도상적세절부분，재처리도상변연신식방면비전통방법유경호적회복효과。
Block effect is the noticeable discontinuous leaps in the reconstructed image,which is caused by the high frequency information of edges lost in the process of quantification using Discrete Cosine Transform (DCT).A deblocking algorithm based on Contourlet transform is proposed in this paper.This algorithm will firstly decompose the image by Contourlet Transform,then process the obtained Contourlet coefficients with the deblocking algorithm, and lastly reconstruct the image with the updated coefficients.Experiments show that the algorithm can keep more details of the original image and have better recovery performance on image edges than traditional methods.