Image compression method based on YOLO algorithm
An image compression and algorithm technology, applied in image communication, digital video signal modification, electrical components, etc., can solve problems such as complex target detection, and achieve the effect of reducing memory space
Inactive Publication Date: 2020-04-17
CHINA UNIV OF PETROLEUM (EAST CHINA)
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[0004] In the field of computer vision, target detection is a more practical method to obtain useful information of images. It can be regarded as a combination of image classification and positioning. Given a picture, the target detection system must be able to identify the target of the picture and give Its position, because the number of targets in the picture is uncertain, and the precise position of the target must be given, the target detection is more complicated than the classification task
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[0019] In order to make the purpose, technical solution and advantages of the present invention clearer, the implementation manners of the present invention will be further described in detail below.
[0020] The basis of this embodiment is that 1000 network images with human bodies are collected in advance. The experimental equipment is Linux system desktop, Nvidia 1080TiGPU, Intel i7CPU.
[0021] The designed algorithm structure is realized by programming in python language.
[0022] If this method is not used, the memory occupied by 1000 images is 900MB, and the memory occupied by this method is 400MB under the condition that the region of interest (human body) is not lost.
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The invention provides an image compression method based on a YOLO algorithm. According to the invention, the characteristic that the YOLO can detect a target concerned in an image is utilized; the designed self-adaptive cutting algorithm is combined; the region of interest in the image is reserved; and useless information such as the background is removed. According to the invention, experimentsare carried out on a desktop computer of a Linux system, and results show that the compression algorithm can greatly reduce memory space required by image storage.
Description
technical field [0001] The invention relates to an image compression method, in particular to an image compression method based on the YOLO algorithm. Background technique [0002] In the context of big data, massive amounts of data are generated every day, and how to efficiently store data has always been a problem that needs to be solved. In particular, massive image data requires larger storage resources than other data, and in many application scenarios, a lot of image information is redundant and useless, such as massive human body image data, we only care about Information about the human body is useless for information such as the background, and this information causes a great waste of storage resources. In order to store massive image data, we need to compress the image. [0003] The current image compression methods are all based on the loss of image pixel value and clarity. In this regard, we propose to use target detection algorithms (such as YOLO algorithm) t...
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IPC IPC(8): H04N19/149H04N19/167H04N19/85
CPCH04N19/149H04N19/167H04N19/85
Inventor 韩宁生庞善臣盛宏婷董玉坤丁桐
Owner CHINA UNIV OF PETROLEUM (EAST CHINA)