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Quasi-lossless image compression and decompression method of wireless endoscope system

A technology of lossless image and compression method, which is applied in the fields of endoscopy, medical science, diagnosis, etc., and can solve problems such as inconsistent high-quality images

Active Publication Date: 2006-07-12
TSINGHUA UNIV
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AI Technical Summary

Problems solved by technology

However, these newly proposed methods of compression first and then interpolation are mainly proposed for lossy image compression, and are not suitable for applications with high-quality image requirements, especially for medical image applications such as wireless endoscopes, etc.

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  • Quasi-lossless image compression and decompression method of wireless endoscope system
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  • Quasi-lossless image compression and decompression method of wireless endoscope system

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Embodiment Construction

[0124] Figure 1 is a block diagram of a simplified image acquisition, compression and wireless transmission system of the wireless endoscopy capsule system. The Bayer color format image data output by the image sensor in the wireless endoscopy capsule is directly compressed, and then sent to the channel coding unit, after channel coding, output to the wireless transceiver, and sent to the body in the form of radio waves. The capsule can also receive control command data from the outside through the wireless transceiver, and then send it to the channel decoding unit. The decoded data is output to the control unit, and the control unit controls the next action of the circuit in the capsule according to the received control command.

[0125] Figure 2 is the BAYER format color image array output by the image sensor. The G component data of the image is a diamond shape, and the data volume accounts for 1 / 2 of the entire Bayer image data volume, and the R and B components are rectangula...

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Abstract

The invention belongs to field of medical digital picture compression technique, which is a picture compression and decompression method based on compression first and color interpolation later, removing the high-frequency component of the picture with low-pass filter before compression, controlling the filtered wave picture dot percentage of the whole picture with mass controlling factor to improve the picture quality, determining the pixel area directly for coding without compression with interesting area to guarantee the picture quality in interesting area. The compression without damage is coded with JPEG-LS compression. The hardware diagram is relatively provided. Compressing the seven natural picture in the standard picture database for experiment, realizing the continuously adjustment of signal-to-noise ratio from 46.37 dB to infinity, the relevant compression rate changing in range of from 3.3 bit / pixel point to 6.9 bit / pixel point; if compressing the wireless endoscope picture, we can get the average picture compression rate of 2.18 bit / pixel point and PSNR larger than 47.57dB.

Description

Technical field [0001] The lossless and quasi-lossless image compression method and device of the wireless endoscope system belong to the technical field of medical digital image compression, and particularly relates to the technical field of high-quality digital image compression output from a digital image sensor with a Bayer color image array format. The definition of quasi-lossless image compression in the present invention is as follows: the peak signal-to-noise ratio (PSNR) of the compressed image is greater than 46.37dB, and the error value of any pixel before and after compression does not exceed 2. Background technique [0002] Color digital image sensors have been widely used in various high-end and low-end video fields. However, due to the large amount of color image data, the compression of color image data is very important. Generally, lossy compression is mainly used in low-end consumer image products; while in the application field of high-end color image sensors, ...

Claims

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Application Information

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IPC IPC(8): A61B1/04
Inventor 谢翔李国林李晓雯王志华
Owner TSINGHUA UNIV
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