Other

Suzhou Keda Technology Co., Ltd.

Guoqing Meng

Lijun Cao

Yong Zhang

Fengfeng Tang

Weidong Chen

The present disclosure provides a method for generating a high dynamic range image from a low dynamic range image, including performing grey-level adjustment on a low dynamic range image to be processed in accordance with a preset mapping relationship to obtain an image after the grey-level adjustment, the grey-level adjustment includes inverse-gamma correction and grey-level value increase; selecting a plurality of saturation areas in the image after the grey-level adjustment; performing grey-level enhancement of the saturation areas in the image after the grey-level adjustment, to obtain a target high dynamic range image; and outputting the target high dynamic range image.

Method for generating high dynamic range image from low dynamic range image

The present application provides an image enhancement method and system, the method includes acquiring an input brightness value, and computing a log average value of the input brightness value; processing the input image based on a Retinex image enhancement algorithm to obtain a first brightness gain value; computing a brightness gain control factor according to the log average value of the input brightness value; computing a second brightness gain value according to the brightness gain control factor and the first brightness gain value; and obtaining an output image by enhancing the input image according to the second brightness gain value. The present application uses a Retinex image enhancement algorithm to enhance the input image, and by using the brightness gain control factor, when the image has low brightness, the first brightness gain value is compressed, and when the image has high brightness, the first brightness gain value is compressed slightly.

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Suzhou, China

Guoqing Meng