CAJ | 학술논문

传统图像增强算法对图像增强的同时加强了噪声信号，导致信息熵下降，针对这一问题，该文提出基于BEMD和LWT的图像增强算法。对图像进行BEMD分解，提取固有模态函数IMF分量，对IMF进行LWT分解，通过逆变换对图像进行重构。实验结果表明，与传统小波图像增强算法相比，提出的增强算法图像质量得到改进。
전통도상증강산법대도상증강적동시가강료조성신호，도치신식적하강，침대저일문제，해문제출기우BEMD화LWT적도상증강산법。대도상진행BEMD분해，제취고유모태함수IMF분량，대IMF진행LWT분해，통과역변환대도상진행중구。실험결과표명，여전통소파도상증강산법상비，제출적증강산법도상질량득도개진。
The traditional image enhancement algorithms can enhance noise signal in image while they enhance im-age,which leads to the descent of information entropy. Contrary to the problem,an algorithm of image enhancement based on binary empirical mode decomposition and lifting wavelet analysis is presented. The image is decomposed to IMF function via EMD,IMF function is processed by lifting wavelet trans-form,the image is reconstructed by the inverse transform. The experimental result indicates that the quality of image have been improved. the quality of image is better than traditional wavelet image en-hancement algorithms.