An Energy-Efficient Compressed Sensing Image Coding Method

An image coding and compressed sensing technology, which is applied in the field of image coding, can solve the problems of high coding energy consumption and unbalanced coding and decoding energy consumption.

Active Publication Date: 2021-06-15
XINYANG NORMAL UNIVERSITY
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Problems solved by technology

[0005] The present invention provides an energy-saving compressed sensing image coding method, which can effectively solve the problems of high coding energy consumption and coding and decoding energy consumption existing in the prior art.

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  • An Energy-Efficient Compressed Sensing Image Coding Method
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  • An Energy-Efficient Compressed Sensing Image Coding Method

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Embodiment Construction

[0011] The specific implementation of the present invention will be described in detail below in conjunction with the flowchart and specific conditions.

[0012] In the specific implementation of the present invention, an energy-saving compressed sensing image coding method comprises the following steps:

[0013] (1), input image, carry out block segmentation to input image, be divided into several non-overlapping image blocks, method is:

[0014] Use the CMOS sensor array to obtain the image x of natural landscape perception, and input the image x of natural landscape perception into the encoder by the CMOS sensor array, divide the image into several non-overlapping image blocks, input the image x, Dimensions N=I r ×I c , divide x into blocks, the block size is B×B, and the image blocks are sorted from top to bottom and from left to right. Each image block is drawn into a column vector by raster scanning, and the i-th image block is represented as x i , i=1,2,...,n,n=N / B ...

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Abstract

The invention relates to an energy-saving compressed sensing image coding method, which effectively solves the problem of high coding energy consumption and coding and decoding energy consumption existing in the prior art. Image block; calculate the gradient value of each image block; use the gradient value of each block to construct a measurement matrix, implement block CS measurement; use the measurement matrix of each block to construct a projection matrix; implement the inner product operation of the projection matrix and the observation vector, and reconstruct image blocks and merge them into the final reconstructed image. The invention implements adaptive CS measurement according to the gradient value of each image block, the gradient value quantifies the sparsity of the image block, and ensures that the encoder can still capture most of the information of the image block under the condition of low energy consumption; Each image block is reconstructed, which reduces decoding energy consumption while obtaining good reconstruction quality. By implementing encoding and decoding on the CIF format video sequence, the encoding energy consumption is low and the decoding energy consumption is low.

Description

technical field [0001] The invention relates to the technical field of image coding, in particular to an energy-saving compressed sensing image coding method. Background technique [0002] With the rapid development of the Internet of Things, more and more devices are interconnected. Data transmission between devices consumes huge amounts of energy, therefore, energy-efficient IoT has received much attention from both academia and industry. Vision sensors are the main source of energy consumption in the Internet of Things. Existing work has designed some energy-saving sensors, for example, CITRIC (P.Chen,P.Ahammad,C.Boyer,et al. "CITRIC: A low-bandwidth wireless camera network platform,"ACM / IEEE International Conference on Distributed Smart Cameras,pp.1-10,2008), MicrelEye(A.Kerhet,M.Magno,F.Leonardi,A.Boni,and L.Benini."A low-power wireless videosensor node for distributed object detection, "Journal of Real-Time Image Processing, vol.2, no.4, pp.331-342, 2007) etc. These...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T9/00
CPCG06T9/00
Inventor 李然段晓萌沈克琳
Owner XINYANG NORMAL UNIVERSITY
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