Cienet Technologies (beijing) Co., Ltd.

Yuance Deng

Disclosed are a shadow elimination method and apparatus for a text image, and an electronic device. The method comprises the following steps: converting a text image to be processed into a first grayscale image; performing convex height sorting processing on the first grayscale image to determine a background grayscale segmentation threshold of the first grayscale image and a text grayscale segmentation threshold within a shadow region of the first grayscale image; processing the background grayscale segmentation threshold and the text grayscale segmentation threshold to respectively obtain a shadow region mask representation and a non-shadow region mask representation; performing background enhancement on the first grayscale image to obtain a second grayscale image; and performing fusion processing on the shadow region having the background enhancement in the second grayscale image and the non-shadow region in the first grayscale image according to the shadow region mask representation and the non-shadow region mask representation.

Shadow elimination method and apparatus for text image, and electronic device

A text image correction method and a corresponding text image correction apparatus. Frequency information of a row-direction cumulative curve used by the method is sensitive to an error between a compensation angle for a tilt angle and a real tilt angle, and the method thus has good robustness. The method can accurately estimate the compensation angle for a tilt angle and correct a tilted text image. The method and apparatus can be applied to scenarios such as image pre-processing, automatic compensation for angles of scanned text images, automatic compensation for tilt angles of mobile phone photos.

Text image correction method and apparatus

Disclosed are an image capture scene recognition control method and apparatus and an image capture device. The method comprises the following steps: obtaining a preview image of a current image capture scene collected by an image capture device; extracting a brightness component of the preview image, and obtaining brightness component information of the preview image; obtaining a distribution estimation of the brightness component information and a desired ideal brightness distribution; determining the relative entropy between the distribution estimation of the brightness component information and the desired ideal brightness distribution; according to the relative entropy, determining whether the current image capture scene is a shaded image capture scene; when determined that the current image capture scene is a shaded image capture scene, controlling the image capture device such that the light source of the image capture device compensates the light source in the shaded image capture scene.

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Beijing, China

Yuance Deng