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Medical image lossless compression method based on gray level probability

A lossless compression technology for medical images, applied in image communication, image coding, image data processing, etc., to achieve high image compression ratio

Inactive Publication Date: 2018-11-20
GUILIN UNIV OF ELECTRONIC TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Most image compression uses lossy image compression techniques, such as JPEC, wavelet transform coding, etc. However, lossless compression is still required in application fields such as medical images, satellite remote sensing, geographic images, etc.

Method used

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  • Medical image lossless compression method based on gray level probability
  • Medical image lossless compression method based on gray level probability
  • Medical image lossless compression method based on gray level probability

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Experimental program
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Embodiment

[0034] Such as figure 1 As shown, a lossless compression method for medical images based on gray-scale probability, including two processes of image encoding and image decoding,

[0035] The coding process specifically includes the following steps:

[0036] 1) Perform differential calculation on the gray matrix I of the medical image to obtain the differential image I1 and the symbol matrix S;

[0037] 2) calculating the grayscale probability of the difference image I1 obtained in step 1), specifically calculating the number of occurrences of each grayscale in the difference image I1 and dividing by the total number of times to obtain the probability of each grayscale;

[0038] 3) Utilize the optimal binary tree (Huffman tree) to encode the differential image I1 to obtain the code word table Code of the differential image I1;

[0039] The image decoding process specifically includes the following steps:

[0040] A) Huffman decoding is performed on the codeword table Code ob...

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Abstract

The invention discloses a medical image lossless compression method based on gray level probability, which comprises two processes of image coding and image decoding. The encoding process is that a gray level matrix I of a medical image is subjected to difference calculation to obtain a difference image I1 and a symbol matrix S, then the gray probability of the difference image I1 is calculated, and then the difference image I1 is encoded by a Huffman tree to obtain a corresponding code table Code of the difference image I1; image decoding is to perform Huffman decoding on the code table Codeobtained in the encoding process to obtain the difference image I2; the decoded data is combined with the symbol matrix S of the encoding process for inverse difference to obtain an original image. The invention can losslessly compress the medical image and obtain a higher image compression ratio, and is convenient for saving medical image data storage space and improving medical image network transmission efficiency.

Description

technical field [0001] The invention relates to the technical field of image compression, in particular to a gray-scale probability-based lossless compression method for medical images. Background technique [0002] With the development of modern science and technology, there are more and more medical detection methods in hospitals, and the generated medical image data also increases. Especially in the radiology department of a hospital, the amount of inspection data such as CT and MRI is relatively large. This not only increases the storage cost of medical images in hospitals, but also limits the network transmission of medical images, and also limits the development of mobile medical and telemedicine. Because medical images include medical information, some medical information is relatively weak. However, the lossy image compression method causes a certain loss and distortion to the original image, which brings troubles to doctors in the diagnosis of diseases. How to us...

Claims

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Application Information

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IPC IPC(8): G06T9/00G06T9/40H04N19/70H04N19/96
CPCH04N19/70H04N19/96G06T9/005G06T9/40
Inventor 姚澄陈洪波范琳陈树超傅嘉文龚琼
Owner GUILIN UNIV OF ELECTRONIC TECH