Tencent Technology (shenzhen) Company Limited

Baoli Li

Jianyu Wang

Haifeng Deng

Shimin Hu

Xianying Li

Zhe Zhu

Kun Xu

Provided are a method and an apparatus for adjusting image brightness. The method includes: acquiring a single-channel brightness image based on grayscales of each channel of an image to be processed; performing Gaussian filtering on the single-channel brightness image to acquire a Gaussian filtered image; adjusting grayscales of the Gaussian filtered image based on the grayscales of the Gaussian filtered image and a preset proportion; acquiring a grayscale change rate of each pixel with respect to the Gaussian filtered image after adjustment and the Gaussian filtered image before adjustment; and processing the image to be processed based on the grayscale change rate of each pixel to acquire a processed image.

Method and apparatus for adjusting image brightness

Provided are a method and an apparatus for adjusting image brightness. The method includes: acquiring an image to be processed, and acquiring a single-channel brightness image based on grayscales of each channel of the image to be processed; performing Gaussian filtering on the single-channel brightness image to acquire a Gaussian filtered image; adjusting grayscales of the Gaussian filtered image based on the grayscales of the Gaussian filtered image and a preset proportion; comparing the Gaussian filtered image after adjustment with the Gaussian filtered image before adjustment to acquire a grayscale change rate of each pixel through adjustment; processing the image to be processed based on the grayscale change rate of each pixel to acquire a processed image; and outputting the processed image.

The disclosure relates to an image tone adjustment method, an apparatus thereof, and a computer-readable storage medium. The method includes: fitting overlapping areas to obtain a first correction parameter and a second correction parameter, performing interpolation on each pixel of the target image to obtain a corresponding correction parameter, correcting the target image according to the corresponding correction parameters; fitting an overlapping area between the corrected target image and the first image, and an overlapping area between the corrected target image and the second image to obtain a first RGB three-channel linear transformation parameter and a second RGB three-channel linear transformation parameter, performing linear interpolation on each pixel of the corrected target image to obtain a corresponding RGB three-channel linear transformation parameter, and transforming the corrected target image.

Image tone adjustment method, apparatus thereof and computer storage medium

A method for panoramic image completion is disclosed. The method includes: acquiring a panoramic image; obtaining a projected image by mapping pixels of the panoramic image onto a polar coordinate system, wherein a long side component of the pixel coordinate of the pixels is corresponding to the polar angle of the polar coordinate system and a short side component of the pixel coordinate of the pixels is corresponding to a radial coordinate of the polar coordinate system; acquiring an incomplete region of the projected image, and obtaining a completed image by completing the incomplete region; and obtaining a completed panoramic image by inverse mapping the pixels of the completed image according to the polar coordinate system. Furthermore, a device for panoramic image completion is also disclosed. The above method and device for panoramic image completion take account of the perspective curvature of the panoramic image, to improve the degree of restoration.

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Guangdong, China

Baoli Li