Image processing method and device

Abstract

The present invention provides a method and a device for processing image. The method comprises: determining at least one piece covered by a mask in a current frame image, the mask centers on a first pixel point in the current frame image, the at least one piece is obtained through partition of the current frame image, and the piece comprises a plurality of pixel points; determining the pixel mean value of each piece of the at least one piece, and determining the gray scale mapping curvilinear function corresponding to each piece according to the pixel mean value of the piece; determining the ratio between the area of a portion, covered by the mask, of each piece of the at least one piece and the area of the mask; and determining the adjustment pixel value of the first pixel point according to the ratio between the area of a portion, covered by the mask, of each piece, the gray scale mapping curvilinear function corresponding to each piece and the original pixel value of the first pixel point. The embodiments of the invention can improve image processing speed while save resources.

Description

technical field [0001] The present invention relates to the field of images, and in particular, to methods and devices for processing images. Background technique [0002] Due to the insufficient dynamic range of the display device, the captured image is often not displayed perfectly. When the details of the dark part are displayed, the details of the bright part will be lost. When the details of the bright part are displayed, the details of the dark part will be lost. The details of the dark part and the bright part Details often cannot be displayed at the same time. [0003] In order to obtain a better image effect, the currently commonly used processing method is the local adjustment method, that is, the image is processed with a mask, so that the processed image details are well presented and the local contrast is high, but this method needs to adjust the pixel points in the mask. Normalization processing is performed, so the complexity is high, and the resource consump...

AI Technical Summary

Problems solved by technology

[0002] Due to the insufficient dynamic range of the display device, the captured image is often not displayed perfectly. When the details of the dark part are displayed, the details of the bright part will be lost. When the details of the bright part are displayed, the details of the dark part will be lost. The details of the dark part and the bright part Details are often not shown simultaneously

[0003] In order to obtain a better image effect, the currently commonly used processing method is the local adjustment method, that is, the image is processed with a mask, so that the processed image details are well presented and the local contrast is high, but this method needs to adjust the pixel points in the mask. Normalization processing is performed, so the complexity is high, the resource consumption is large, and the image processing speed is seriously reduced

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