摘要
提出了一种新的高动态范围(high dynamic range,HDR)图像阶调复制算法。鉴于图像色貌模型在预测图像色貌方面的优势,基于最新的图像色貌模型iCAM06设计流程,对iCAM06的阶调压缩函数进行重要改进,使用基于改进非线性蒙版的阶调压缩函数取代其中的双曲线压缩函数,对基础层图像进行阶调压缩处理。另外,在HDR图像的显示过程中增加了亨特效应和史蒂文斯效应预测模型。最后,利用主观评价实验和DRI模型分别评价了新算法的显示偏好性和场景复制准确性。实验结果表明,无论在偏好性还是场景复制准确性上,新算法都取得了较好的效果。
A new tone-reproduction algorithm for high-dynamic-range （HDR） images is proposed in this paper. The image color appearance model is good at predicting color appearance of images, so the calculation frame of the new algorithm is based on the latest image color appearance model iCAM06. The tone-compression function of iCAM06 was improved significantly. The Hyperbola tone-compression function of iCAM06 was replaced by the tone-compression function based on the improved non- linear masking, and the new tone-compression function was used for tone-compression of the base lay er image. In addition, in the rendering process of the HDR images, the new algorithm introduced the ＂Hunt effect＂ and ＂Stevens effect＂ predicting model proposed previously. Finally, the subjective evaluation test and DRI model were used to evaluate preference and scene-reproduction accuracy of the new algorithm respectively. The result of the evaluation test shows that the new algorithm has a very good effect on preference and scene-reproduction accuracy.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2014年第8期1003-1008,共6页
Geomatics and Information Science of Wuhan University
基金
国家自然科学基金资助项目(201361301231)
河南工程学院博士基金资助项目(D2012027)~~
关键词
高动态范围图像
阶调复制
非线性蒙版
图像色貌模型
high dynamic range images
tone reproduction
non-linear masking
image color appearance model
