Comprehensive Compression Coding Method for UAV Reconnaissance Image Based on Selective Block Transformation

Abstract

The invention discloses an unmanned aerial vehicle scouting image synthesis compressed encoding method based on selective block transformation. The method comprises the steps of synthesizing the H.264 compressing scheme and the JPEG 2000 compressing scheme, carrying out selective algorithm adjustment and improvement on block transformation in the H.264 video coding standard, and obtaining a compressed code stream by means of compressed encoding. According to the unmanned aerial vehicle scouting image synthesis compressed encoding method based on the selective block transformation, the problem of limitation on image transmission bandwidth caused by limitation of size, weight and power consumption and other respects of an unmanned aerial vehicle platform, and influence of channels, external environment and enemy interference and other factors on actual image information transmission is effectively solved, uncompressed image source information is differentiable under the situation that still images before and after compression are similar in respect of PSNR and subjective quality evaluation of a scouting video is high, the compression ratio is greatly increased, and the scheme is systematic.

Description

technical field [0001] The invention belongs to the technical field of digital video image processing, and in particular relates to a method for comprehensively compressing and encoding UAV reconnaissance images based on selective block transformation. Background technique [0002] UAVs can carry a variety of mission loads and work in multiple modes. There are many reconnaissance methods. In addition to visible light photography to obtain video, there are also digital photo photography, infrared imaging, multispectral scanning, and synthetic aperture radar. Modern drone reconnaissance images are all digitally transmitted, so reconnaissance images have a large amount of information and must be transmitted in real time. At the same time, image information will be affected by channel, external environment, enemy interference and other factors during the actual transmission process. , and due to the limitations of the UAV platform in terms of size, weight, and power consumption,...

AI Technical Summary

Problems solved by technology

[0004] At present, in the UAV compression system, one of the following two schemes is usually adopted: a discrete scheme, dynamic video adopts the H.264 compression scheme, and still images are compressed using the JPEG2000 compression scheme, which cannot be used when airborne resources are limited. Use; use the H.264 algorithm to compress two types of images, so that when compressing still image frames, compared to the DWT transformation method, the integer DCT transformation used in H.264 is suitable for small block transformations such as 4x4 size, although avoiding It solves the mismatch problem that often occurs in the general-purpose 8x8 discrete cosine transform and inverse transform used in previous standards, and well retains the necessary details in the image. However, for larger block transforms such as 16x16, the use of integer DCT not only takes up more storage space, there may also be blocking and ringing effects

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