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Energy-saving compressive sensing image encoding method

An image encoding and compressed sensing technology, applied in the field of image encoding, can solve the problem of high encoding energy consumption and inability to balance encoding and decoding energy consumption, achieve good time-distortion performance, low decoding energy consumption, and ensure the effect of reconstruction quality

Active Publication Date: 2018-07-06
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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[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 encoding method. By the aid of the energy-saving compressed sensing image encoding method, the problems of high encoding energy consumption and incapability of taking encoding and decoding energy consumption into account in the prior art can be effectively solved. The energy-saving compressed sensing image encoding method includescarrying out block segmentation on input images and partitioning the input images into a plurality of image blocks which are not overlapped on one another; computing gradient values of the various image blocks; constructing measurement matrixes by the aid of the gradient values of the various blocks and carrying out block CS (compressive sensing) measurement; constructing projection matrixes by the aid of the measurement matrixes of the various blocks; computing inner products of the projection matrixes and observation vectors, reconstructing various image blocks and merging the image blocks to obtain ultimate reconstructed images. The energy-saving compressed sensing image encoding method has the advantages that the adaptive CS measurement is carried out according to the gradient values of the various image blocks, the sparsity of the image blocks can be quantified by the gradient values, and accordingly most information of the image blocks still can be assuredly captured by encodersunder the condition low energy consumption; CIF (common intermediate format) video sequences can be encoded and decoded, and accordingly the energy-saving compressed sensing image encoding method is low in encoding energy consumption and decoding energy consumption.

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...

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Application Information

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Patent Type & Authority Applications(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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