Adaptive Image Cropping Based Depth of Field

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The communication and sharing of visual media show a strong cross-platform feature. Massive images are shown on various devices with different resolution. Automatic image cropping, usually used to change the resolution of image, often discards important content in the image. This paper proposed a novel adaptive photo cropping method. The main idea is exploiting the characteristics of photograph aesthetics in photograph works. The algorithm infers the intention of photographer according to the depth of field in the image. The effects brought out by the focus and unfocus are utilized to exact importance information of the image. So, the method can be more satisfied with the subjective evaluation. And, it has advantage in term of computational speed. Experimentations are presented to demonstrate the validity of proposed method.

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895-899

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September 2012

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