Image processing method and device and unmanned aerial vehicle

Abstract

The invention provides an image processing method and device and an unmanned aerial vehicle. The method comprises the steps that a quantization parameter characteristic value corresponding to each image block in a plurality of image blocks in an encoded historical image is acquired, each image block comprises a plurality of macro blocks, and the quantization parameter characteristic value of eachimage block is determined according to quantization parameters of one or more macro blocks in the image blocks; and when the coding quality of the plurality of image blocks determined according to thequantization parameter characteristic values corresponding to the plurality of image blocks meets a preset descending condition, a first minimum quantization parameter of the current to-be-coded image is determined, the quantization parameter of each macro block in the current to-be-coded image during coding being greater than or equal to the first minimum quantization parameter. Therefore, the image quality of the coded image of the image is uniform.

Description

[0001] Copyright statement [0002] The disclosure of this patent document contains material that is protected by copyright. This copyright belongs to the copyright owner. The copyright owner has no objection to the reproduction by anyone of the patent document or the patent disclosure as it exists in the official records and files of the Patent and Trademark Office. technical field [0003] Embodiments of the present invention relate to the field of image processing, and more specifically, to an image processing method, device, and drone. Background technique [0004] At present, the code rate control algorithm of image coding can be divided into two categories: one is the frame-level code rate control, that is, one frame of image is used as the control precision, and the quantization parameter QP used in the encoding of all macroblocks in one frame of image is the same value ; The other type is code rate control at the macroblock level, that is, one or a group of macrobl...

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Problems solved by technology

[0005] However, in the process of actually using the above-mentioned macroblock-level code rate control algorithm to encode an image, since the information source corresponding to the image and / or the channel for transmitting the image will also change in real time, it may appear in the image When the first part is encoded, the target bit rate of the image is quickly consumed. In order to ensure that the actual bit rate of the image matches the target bit rate, this will cause the encoding quality of the second part of the image to decline sharply, and the decoded image will appear A large number of mosaic phenomena make the image partly distorted and the image quality unbalanced

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