Unlock instant, AI-driven research and patent intelligence for your innovation.

Classification quantization coding method based on bi-orthogonal lapped transform

A technology of overlapping transformation and quantization coding, which is applied in the field of remote sensing image data transmission, can solve problems such as the difference in coding performance parameters and image coding performance

Inactive Publication Date: 2013-09-25
WUHAN UNIV
View PDF2 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Aiming at the problems existing in the background technology, the present invention proposes a classification and quantization coding method based on bio-orthogonal overlapping transform, which can effectively solve the problem of image coding performance differences caused by different requirements for coding performance parameters of different types of remote sensing images under the premise of constant quality coding , so as to achieve the purpose of quality coding for different types of images

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Classification quantization coding method based on bi-orthogonal lapped transform
  • Classification quantization coding method based on bi-orthogonal lapped transform
  • Classification quantization coding method based on bi-orthogonal lapped transform

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0057] (1) Establish a test image library with 15 images;

[0058] (2) Set the expected objective image quality PSNR to 35dB;

[0059] (3) Calculate the image activity value of the test image, and the quantization parameter value near 35dB after biorthogonal overlapping transformation and quantization inverse transformation. The results are shown in Table 1;

[0060] Table 1

[0061]

[0062]

[0063] (4) Define test images 1, 2, 3, 4, 5, 11, 12, 13, 14, and 15 as Class A according to the size of the quantization parameters, and test images 6 and 15 as Class B. Test images 7, 8, 9, and 10 are divided into category C;

[0064] (5) The image activity values ​​of different test images are used as feature values ​​for the training of support vector machines;

[0065] (6) The average quantization step length of the A-type test images is 47, the average quantization step length of the B-type test images is 59, and the average quantization step length of the C-type test images...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a classification quantization coding method based on bi-orthogonal lapped transform, and belongs to the technical field of remote sensing image data transmission. According to the classification quantization coding method, the step of coding parameter designing is completed after image sequences are tested, and then the step of realizing an image coding algorithm to input images is conducted. The images are classified into different types according to coding characteristics through the method of classification training, an appropriate quantization method is selected for each type, therefore, the problem that image coding performances are different due to the fact that on the premise of quality-fixed coding, different types of remote sensing images have different requirements for coding performance parameters is solved, and the purpose of objective-quality-fixed coding of different types of images is achieved. The classification quantization coding method is applied to remote sensing satellites and greatly improves the downloading efficiency of remote sensing satellite image data.

Description

technical field [0001] The invention belongs to the technical field of remote sensing image data transmission, and in particular relates to a classification, quantization and encoding method based on biorthogonal overlapping transform. Background technique [0002] Due to the needs of observation, satellite detectors need to transmit the images taken by the observation system back to the ground. With the needs of users, the resolution of images will be higher and higher, which will lead to a sharp increase in the amount of image data, and the current space communication data link channel capacity is limited. In order to enable the ground to receive high-quality images, it is very necessary to solve the contradiction between the large amount of remote sensing image data transmission and the limited channel through the remote sensing image coding method. [0003] Embedded coding method based on discrete cosine transform and wavelet transform is a hotspot in remote sensing ima...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): H04N7/26H04N7/30
Inventor 田昕李松郑国兴周辉杨晋陵高俊玲
Owner WUHAN UNIV