CAJ | 학술논문

传统直方图均衡算法经常出现对低灰度层过度拉伸，产生图像被过度增强，或是使像素较少的灰度级在变换时被合并，导致图像的边缘或细节信息丢失等现象。为了改善这种算法的不足，该文提出一种改进的自适应均衡算法。该算法先对图像进行传统的直方图均衡处理，然后将处理后的图像再进行一次函数映射，保证将变换后的图像具有一个较大的灰度动态范围，最后确定适当的亮度调节系数，提高整幅图像的对比度，达到较好的视觉效果。实验结果表明，改进后的算法可以有效地改善传统算法的不足，具有较高的适应性。
전통직방도균형산법경상출현대저회도층과도랍신，산생도상피과도증강，혹시사상소교소적회도급재변환시피합병，도치도상적변연혹세절신식주실등현상。위료개선저충산법적불족，해문제출일충개진적자괄응균형산법。해산법선대도상진행전통적직방도균형처리，연후장처리후적도상재진행일차함수영사，보증장변환후적도상구유일개교대적회도동태범위，최후학정괄당적량도조절계수，제고정폭도상적대비도，체도교호적시각효과。실험결과표명，개진후적산법가이유효지개선전통산법적불족，구유교고적괄응성。
The classical histogram equalization algorithm is not perfect in its over extending low gray layers, which produces over emphasized images and in its weakness in changing gray level, which leads to the lost of details in image. For enhancing the algo?rithm, the paper introduces an adaptive equalization algorithm that involves the process of dealing with image by using classical histogram equalization before mapping the image by linear function so as to ensure a large gray area for brightness adjustment. The final result shows that the enhanced algorithm is highly adaptive and it can effectively improve the classical algorithm in terms of image contrast and visual effects.