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A fully automatic digital camera image refocusing algorithm

机译:全自动数码相机图像重新焦算法

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One of the greatest dissatisfiers of consumer digital cameras is autofocus failure. One possible solution currently being investigated by many digital camera manufacturers involves capturing a sequence of through-focus images and postprocessing to produce a desired focused image. Most approaches require significant manual input to define a region of interest (ROI) to be optimized for focus. A new through-focus algorithm is proposed that automatically partitions scene content into regions based on range and then automatically determines the ROI for a given range. When this ROI is combined with standard image fusion operations, this algorithm generates an image with an aesthetically pleasing narrow depth-of-field effect, all with little or no user input, and all within the limited compute environment of a digital camera.
机译:消费者数码相机的最大不满意之一是自动对焦故障。 许多数码相机制造商目前正在研究一种可能的解决方案涉及捕获一系列通焦图像和后处理以产生所需的聚焦图像。 大多数方法都需要重要的手动输入来定义要优化的感兴趣区域(ROI)以进行焦点。 提出了一种新的通孔焦点算法,其基于范围自动将场景内容分区为区域,然后自动确定给定范围的ROI。 当该ROI与标准图像融合操作组合时,该算法生成具有美学上令人愉快的狭义深度效果的图像,所有这些效果都具有很少或没有用户输入,并且在数码相机的有限计算环境中。

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