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

Compressed Sensing Multiple Description Codec Based on 1-Bit Vector Quantization

An encoding and decoding method and compressed sensing technology, which are applied in the field of image acquisition and processing, can solve problems such as low signal encoding efficiency, and achieve the effects of improving encoding efficiency, high-quality decoding, and robust transmission performance.

Active Publication Date: 2021-08-03
JIANGSU UNIV
View PDF9 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, 1-bit compressed sensing has a major defect, that is, the coding efficiency of the signal is low, so how to design a simple and efficient sampling coding system has become an important research topic

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
  • Compressed Sensing Multiple Description Codec Based on 1-Bit Vector Quantization
  • Compressed Sensing Multiple Description Codec Based on 1-Bit Vector Quantization
  • Compressed Sensing Multiple Description Codec Based on 1-Bit Vector Quantization

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] refer to figure 1 , the present invention includes two parts, an encoding end and a decoding end, and the encoding end divides the observed value into two parts Y 1 and Y 2 , Y 1 Using conventional 1-bit scalar quantization, Y 2 1-bit vector quantization is used. Use Y on the decoding side 1 First solve to get the initial estimate of X, and then use A 2 observed Y 2 initial estimate of use The Y2 symbol information is estimated several times iteratively, and finally all the decoded observations are jointly reconstructed to obtain the final reconstructed signal.

[0042] The specific implementation steps are as follows:

[0043] Step 1: According to the principle of compressed sensing, use the random observation matrix A 1 Observing the original signal X to obtain m 1 observations Y 1 =A 1 X and Y 1 Perform 1-bit quantization encoding to get about to Y 1 Each value of is compared with a 0 value, coded as 1 if positive, and 0 if negative. Here, the obs...

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 discloses a compressed sensing multi-description encoding and decoding method based on 1-bit vector quantization, which belongs to the field of image processing. The system of the present invention includes two parts, an encoding end and a decoding end. The encoding end uses a random observation matrix to acquire signals and splits the acquired observation values ​​into two parts, respectively performing 1-bit scalar quantization and vector quantization. At the decoding end, the scalar quantized value is dequantized, decoded and reconstructed firstly, and then according to the obtained reconstructed signal, the maximum a posteriori probability method is used to iteratively estimate the vector quantized observed value, and finally, all decoded observed value information is used to perform Sparse optimization reconstructs the original signal. The invention overcomes the disadvantage of low encoding efficiency of the traditional 1-bit compressed sensing quantization system, and at the same time retains the very simple features of the quantizer and has robust transmission capabilities, and is especially suitable for applications with insufficient encoder capabilities and poor transmission channel conditions occasion.

Description

technical field [0001] The invention belongs to the field of image acquisition and processing, and mainly relates to a novel image compression sensing encoding and decoding method. Background technique [0002] Multiple description coding (MDC) is an effective coding scheme against unreliable channels, which can be applied to video coding, military communications and other fields. It is characterized in that the signal is encoded to generate multiple independent code streams, and each code stream can be decoded separately, so that an approximate estimate of the original signal can be obtained even when some code streams are lost, so as to achieve robust information transmission. characteristic. The traditional multi-description schemes mainly include the following categories: multi-description quantization, parity interleaving coding, dual transformation and so on. But no matter which scheme it is, it faces a huge defect, that is, the granularity of the description is very...

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 Patents(China)
IPC IPC(8): H04N19/39H04N19/94H04N19/154
CPCH04N19/154H04N19/39H04N19/94
Inventor 王良君陈丹丹陈小顺
Owner JIANGSU UNIV