We present a method of generating high dynamic range(HDR)radiance maps from a single low dynamic range(LDR)image and its camera response function(CRF).The method first models and estimates the inverse CRF and then mul...We present a method of generating high dynamic range(HDR)radiance maps from a single low dynamic range(LDR)image and its camera response function(CRF).The method first models and estimates the inverse CRF and then multiplies the inverse CRF by a weighting function to make it smooth near the maximum and minimum pixel values,and finally conducts the smooth inverse CRF on the input LDR image to generate HDR image.In the method,the inverse CRF is estimated using one single LDR image and an empirical model of CRF,based on measured RGB distributions at color edges.Unlike most existing methods,the proposed method expands image from both high and low luminance regions.Thus,the algorithm can avoid the artifacts and detail loss in dark area which results from extending image only from bright region.Extensive experimental results show that the approach induces less contrast distortion and produces high visual quality HDR image.展开更多
在继承平方公里阵列(Square Kilometre Array,SKA)望远镜的中国低频探路者——"宇宙第一缕曙光"探测项目21CMA在十年间所积累的经验和广泛国际合作的基础上,计划小规模改造现有设备,迅速掌握数字多波束合成、高动态大视场成...在继承平方公里阵列(Square Kilometre Array,SKA)望远镜的中国低频探路者——"宇宙第一缕曙光"探测项目21CMA在十年间所积累的经验和广泛国际合作的基础上,计划小规模改造现有设备,迅速掌握数字多波束合成、高动态大视场成像、前景去除等SKA低频成像的关键核心技术。同时,与SKA低频阵(SKA-low)先导设备MWA(Murchison Widefield Array)开展深层次合作,预选未来用于SKA1-low宇宙再电离深度成像的观测候选区域,为最终利用SKA第一阶段(SKA1)低频阵列,对选定观测候选区域进行深度定点观测做好充分准备,最终实现SKA1既定的首要科学目标。该项目还将建设中国SKA区域中心数据处理原型样机,并以21CMA和MWA实测数据为基础,完成低频射电干涉成像的数据处理流程,为建设中国SKA区域数据中心打下基础。展开更多
基金supported by the National Natural Science Foundation of China (61401072)
文摘We present a method of generating high dynamic range(HDR)radiance maps from a single low dynamic range(LDR)image and its camera response function(CRF).The method first models and estimates the inverse CRF and then multiplies the inverse CRF by a weighting function to make it smooth near the maximum and minimum pixel values,and finally conducts the smooth inverse CRF on the input LDR image to generate HDR image.In the method,the inverse CRF is estimated using one single LDR image and an empirical model of CRF,based on measured RGB distributions at color edges.Unlike most existing methods,the proposed method expands image from both high and low luminance regions.Thus,the algorithm can avoid the artifacts and detail loss in dark area which results from extending image only from bright region.Extensive experimental results show that the approach induces less contrast distortion and produces high visual quality HDR image.
文摘在继承平方公里阵列(Square Kilometre Array,SKA)望远镜的中国低频探路者——"宇宙第一缕曙光"探测项目21CMA在十年间所积累的经验和广泛国际合作的基础上,计划小规模改造现有设备,迅速掌握数字多波束合成、高动态大视场成像、前景去除等SKA低频成像的关键核心技术。同时,与SKA低频阵(SKA-low)先导设备MWA(Murchison Widefield Array)开展深层次合作,预选未来用于SKA1-low宇宙再电离深度成像的观测候选区域,为最终利用SKA第一阶段(SKA1)低频阵列,对选定观测候选区域进行深度定点观测做好充分准备,最终实现SKA1既定的首要科学目标。该项目还将建设中国SKA区域中心数据处理原型样机,并以21CMA和MWA实测数据为基础,完成低频射电干涉成像的数据处理流程,为建设中国SKA区域数据中心打下基础。
