一种基于图像细节保持的空间色域映射算法框架

鉴于逐点色域映射在图像细节保持方面及空间色域映射在光晕抑制方面的缺陷,本文利用自引导滤波在图像细节提取和光晕抑制方面的特性,提出了一种既能有效保护图像细节又能消除滤波光晕的空间色域映射算法框架.详细分析了引导滤波参数对映射图像细节再现的影响,进而确定了算法框架中的最佳滤波参数设置,还针对分层映射的特点修正了框架中的CUSP和HpMinDE逐点色域裁剪算子.评价实验证明:新算法无论在图像偏好性还是复制准确性方面,都要明显强于其他两种同类型算法以及经典的优化迭代类算法.通过对光晕测试标准图像的映射试验,比较了本文算法与其他细节保持类算法所产生的光晕效果,验证了新算法在光晕抑制方面的优越性.

A Spatial Gamut Mapping Framework Based on Detail Preservation

Considering the defects of point wise gamut mapping algorithms (GMAs) in detail-preservation and the halos introduced by spatial gamut mapping algorithms (SGMAs), a SGMA framework was proposed to effectively preserve the image detail and inhibit spatial filtering halos. Firstly,the influences of different Guided-filtering parameters on detail-reproduction were analyzed in detail to determine the optimal filtering parameters. Then, two point wise gamut mapping operators "CUSP" and "HpMinDE" were modified for the proposed SMGA framework according to the characteristics of layered gamut mapping. Finally, some evaluating experiments were carried out. The results show that, in aspects of image preference and reproduction accuracy, the proposed SGMA is obviously better than the other two classical algorithms of the same type and the classical optimization iterative algorithm. The superiority of the proposed SGMA in halos-inhibition were also tested and verified by means of the standard halos-testing image.