Bayer image compression method based on YUV conversion

Abstract

The invention relates to a Bayer image compression method based on YUV conversion, which belongs to the technical field of an aerospace optical remote sensor and is a Bayer image compression method used for an aerospace optical remote sensing CMOS camera. The method comprises the following steps: carrying out space conversion on a Bayer-format image from a three-color space to a brightness-chroma space, eliminating the relativity among the three color components to be ready for different compression ratios used by brightness and chroma, self-adaptively determining the compression ratios based on the complexity of the image, carrying out line conversion and encoding. The invention greatly improves the quality of the compressed image by carrying out space conversion to eliminate the relativity among the three color components, and further enhances the adaptive capacity of the camera by using different compression ratios for images of different complexities.

Description

technical field [0001] The invention relates to a YUV transform-based Bayer image compression method, which belongs to the field of aerospace remote sensor electronics. Background technique [0002] Lightweight and low-power area array CMOS cameras have been widely used in satellite body mechanisms, deep space exploration, video telemetry on space stations and spacecraft. It can monitor and evaluate activities such as unfolding, and provide image basis for scientific researchers to judge the working conditions of satellites on the ground. It has been successfully applied to many models. [0003] Cameras are divided into black-and-white and color. Color cameras are used to monitor colored objects. At present, there are many ways to obtain color images from space optical remote sensing cameras. Large-scale remote sensing cameras generally use multiple sensors to obtain images of different spectral bands and then pass them through post-processing. Composite color, while the li...

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Problems solved by technology

[0004] At present, most of the compression methods of CMOS images on civilian digital cameras are to perform image compression after image interpolation (see figure 2 ), because a lot of redundant information is added to the image during the interpolation process, the amount of compressed data is three times that of the original Bayer image, which is not conducive to the real-time performance of space camera image compression

And civilian camera compression method adopts simple JPEG compression method more, and JPEG compression can not carry out fixed ratio compression because of adopting discrete cosine transform and Huffman coding, and this just makes it very big to simple image compression ratio (block effect can occur ) and the compression ratio of complex images is extremely small, which makes it impossible to reasonably allocate compression coding resources, and because the satellite needs to estimate the amount of data to allocate data transmission resources, it must use a compression algorithm with a fixed compression ratio

[0005] Some research institutes in China have used the wavelet-based compression method for Bayer image compression for aerospace CMOS cameras, which can fix the compression ratio, but they extract the red, green and blue components of the original Bayer image for compression (see image 3 ), so that the amount of data to be compressed is reduced compared with the method of interpolation and then compression, but because the correlation between the three-color images is not considered (the content of the three-color images is almost the same but the brightness is different) and the characteristics of the color image, for the three-color image The same information in the color component is repeatedly described, which greatly reduces the compression efficiency

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