计算机工程与应用2017，Vol.53Issue(13)：29-33,5.DOI:10.3778/j.issn.1002-8331.1703-0330
直方图重建图像细节增强算法
Novel histogram reconstruction based image detail enhancement algorithm
摘要
Abstract
To solve the problem that the 8 bit quantization results of the traditional high dynamic range image compres-sion methods are easily influenced by image background change, quantization images blur, image detail and dim target loss, a novel histogram reconstruction based image detail enhancement algorithm is proposed. Firstly, image histogram statistics is reassigned to save image details and reduce the interval of adjacent gray level. Secondly, Gabor filters are used to simulate visual perception system, and smooth images are acquired by using Gabor filters. Finally, local contrast enhancement method is used to enhance image details, and linear mapping 14 bit enhanced image to 8 bit display image. The experimental results demonstrated that the quantization images of the proposed algorithm are more distinct and have more image details comparing with traditional quantization methods.关键词
量化/图像细节增强/Gabor滤波器/局部对比度增强/线性映射Key words
quantization/image detail enhancement/Gabor filters/local contrast enhancement/linear map分类
信息技术与安全科学引用本文复制引用
依玉峰,田宏,刘彤宇..直方图重建图像细节增强算法[J].计算机工程与应用,2017,53(13):29-33,5.基金项目
国家自然科学基金(No.81000639). （No.81000639）
