A method of image compression

Abstract

The invention provides an image compression method. The image compression method comprises the following steps: raw data of Ni frame of newly acquired images and raw data of Ni-1 and Ni-2 frames of images acquired before are compared one by one according to corresponding pixels; an identification code for representing the comparison result is output; raw data of pixel values in Ni frame of the new images are modified according to the identification code and saved. The image compression method adopts the continuous 3-frame images for comparison to eliminate influences caused by tiny data fluctuation, reduce the data storage amount, improve the data compression proportion and guarantee complete data storage so as to meet the technical requirement that mainstream hard discs on the market complete data storage at the present write-in speed. The image compression method is simple to use, and can be widely applied to various configured PCs and embedded or FPGA systems.

Description

technical field [0001] The invention belongs to the technical field of digital image processing, and in particular relates to an image compression method. Background technique [0002] In recent years, with people's continuous pursuit of high-definition picture quality, digital technology has developed rapidly. In high-speed image sensor applications, the frame rate of the image sensor is extremely high, reaching more than 180 frames per second, and the pixels of the image are constantly improving. [0003] At present, the mainstream sensor has a specification of 400w pixels, 180 frames per second, and the AD sampling accuracy is 10-12 bits, or even higher. The huge data storage volume collected by continuous shooting also has extremely high requirements on the writing speed of the storage device. For example, an image sensor with 400W pixels and 180 frames per second is calculated according to the bit width of a pixel is 12 bits, considering the byte alignment, and the ac...

AI Technical Summary

Problems solved by technology

However, commonly used compression software has obvious limitations, such as:

[0006] ① Although bzip and winrar are lossless compression, the compression rate of the original image data is very low, and it has little effect on the small amount of data;

[0007] ②JPG, PNP and other image compression methods have high compression rates, but they are all lossy compression, and their data compression is irreversible, that is, the original data cannot be recovered after the compression is completed;

[0008] ③Although JPEG2000 is lossless compression, the method is complicated, and the operation will increase the CPU load. Even a high-performance CPU cannot satisfy the calculation of image data with hundreds of frames per second;

[0009] ④H264 / MPEG and other video compression methods, the method is complicated, and it is also unrecoverable lossy compression

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