CAJ | 학술논문

针对部分灰度图像分辨率和对比度低、噪声大、视觉特性差等特点，提出了一种基于小波变换和直方图均衡的新的图像增强方法。该方法将小波变换的多尺度、多分辨率的特点和直方图均衡化的方法相结合，同时再辅以中值滤波去噪和同态滤波增强，从而在很大程度上克服了单一的直方图均衡化进行图像增强时会丢失图像细节信息、增强图像噪声等的不足。实验结果验证文中方法对图像的分辨率和对比度增强有很好的效果。
침대부분회도도상분변솔화대비도저、조성대、시각특성차등특점，제출료일충기우소파변환화직방도균형적신적도상증강방법。해방법장소파변환적다척도、다분변솔적특점화직방도균형화적방법상결합，동시재보이중치려파거조화동태려파증강，종이재흔대정도상극복료단일적직방도균형화진행도상증강시회주실도상세절신식、증강도상조성등적불족。실험결과험증문중방법대도상적분변솔화대비도증강유흔호적효과。
According to the characteristics of some gray images such as low resolution and contrast, high noise and poor visual characteristics, a new image enhancement method based on wavelet transform and histogram equal?ization is proposed. The characteristics of wavelet transform such as multi-scale and multi-resolution are incorporat?ed with histogram equalization method in the method, and assisted with median filter de-noising and homomor?phism filtering enhancement. So the shortcomings such as image detail loss with single histogram equalization im?age enhancement method and enhancement image noise are overcome. Experimental results show that the method has better effect for image resolution and contrast enhancement.