发明名称 Image processing method and apparatus, and shooting terminal
摘要 An image processing method and apparatus, and a shooting terminal, where the method includes acquiring a to-be-processed image that is shot but is not image-processed; extracting shooting characteristic information of the to-be-processed image; performing image processing on the to-be-processed image according to the shooting characteristic information. In this way, after acquiring a to-be-processed image that is shot, a shooting terminal uses shooting characteristic information of the to-be-processed image as a basis of adaptive processing of the image, and performs processing on each to-be-processed image according to shooting characteristic information of each to-be-processed image, so that the quality of an image that is obtained after being processed by the shooting terminal can be adaptively improved.
申请公布号 US9406148(B2) 申请公布日期 2016.08.02
申请号 US201414575703 申请日期 2014.12.18
申请人 Huawei Device Co., Ltd. 发明人 Zhu Congchao;Chen Gang;Wang Hao;Qi Jia;Luo Wei;Du Cheng;Deng Bin
分类号 G06K9/00;G06T7/40;H04N5/232;H04N5/217;G06T5/00;G06T5/20 主分类号 G06K9/00
代理机构 Conley Rose, P.C. 代理人 Conley Rose, P.C. ;Rodolph Grant
主权项 1. An image processing method comprising: acquiring an image; extracting shooting characteristic information from the image; performing noise reduction and enhancement processing on luminance information of the image according to shooting scene information and shooting metadata; and performing noise reduction and enhancement processing on chrominance information of the image according to the shooting scene information and the shooting metadata, wherein performing noise reduction processing on the luminance information of the image comprises: performing local absolute difference calculation on the luminance information to acquire a sum of absolute difference (SAD) of neighborhood luminance values of the luminance information;obtaining a first Gaussian noise reduction filter kernel according to the SAD of neighborhood luminance values, the shooting scene information, and the shooting metadata; andperforming Gaussian noise reduction processing on the luminance information according to the first Gaussian noise reduction filter kernel, wherein performing enhancement processing on the luminance information of the image comprises: performing edge-preserving-based filtering decomposition on the luminance information to obtain luminance information of a base layer and luminance information of at least one detail layer;performing contrast enhancement processing on the luminance information of the base layer according to the shooting scene information and the shooting metadata;determining at least one gain according to the SAD of neighborhood luminance values, the shooting scene information, and the shooting metadata;performing detail enhancement processing on the luminance information of the detail layer using the gain; andperforming summation on the luminance information that is of the base layer and has undergone contrast enhancement processing and the luminance information that is of the detail layer and has undergone detail enhancement processing, so as to obtain the luminance information that has undergone enhancement processing.
地址 Shenzhen CN