Discrete cosine transform measurement base sorting method

A technology of discrete cosine transform and sorting method, applied in image data processing, instrumentation, calculation and other directions, can solve problems such as inability to meet requirements, and achieve the effect of fast imaging

Active Publication Date: 2020-05-15
BEIJING INST OF AEROSPACE CONTROL DEVICES
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Problems solved by technology

However, there may be some features in the actual target object, or the observer expects to capture features in certain directions preferentially after a few measurements, the existing measurement base sorting method cannot meet the requirements

Method used

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  • Discrete cosine transform measurement base sorting method
  • Discrete cosine transform measurement base sorting method

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Embodiment Construction

[0033] The present invention will be further elaborated below in conjunction with embodiment.

[0034] The invention discloses a method for sorting discrete cosine transform (DCT) measurement bases, which can generate modulation measurement bases for computational imaging, correlation imaging, computational ghost imaging, computational quantum imaging, single-pixel cameras, structured light illumination imaging or three-dimensional Single-pixel lidar imaging and other technologies can improve the image reconstruction speed and imaging signal-to-noise ratio of the above-mentioned computational imaging system.

[0035] refer to figure 1 , shows a flow chart of a class of discrete cosine transform (DCT) measurement basis sorting method in an embodiment of the present invention. In the present embodiment, the sorting method of discrete cosine transform (DCT) measurement basis includes:

[0036] Step S1, according to the desired image resolution initialization parameters, set the...

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Abstract

The invention relates to a discrete cosine transform measurement base sorting method, which comprises the following steps of: (1) setting M*M pixels of a square image according to expected image resolution initialization parameters, M=2n, and n=1, 2,...; (2) generating a complete DCT measurement base group through inverse discrete cosine transform; (3) selecting a proper real value d, and constructing a function fd(i,j); (4) respectively taking values of i=1, 2,..., M, j=1, 2,..., M, and sequentially obtaining values of M2 fd as a sorting basis; and (5) indexing the PM(i,j) to generate a sequence of the PM(i,j) during measurement, and sorting according to M2 fd(i,j) values from small to large. According to the method, a measurement base does not need to be stored, and rapid imaging can berealized through rapid transformation, associated iteration or a compressed sensing algorithm.

Description

technical field [0001] The invention belongs to the technical field of image processing and computational imaging, and relates to a discrete cosine transform measurement base sorting method. Background technique [0002] In computational imaging, correlation imaging, computational ghost imaging, computational quantum imaging, single-pixel camera, structured light illumination imaging, or 3D single-pixel lidar imaging, the selection and optimization of the measurement base determines the image reconstruction speed and image signal-to-noise ratio , is the core technology and key technology in the above fields. The choice of measurement base directly affects the execution efficiency of the reconstruction algorithm and the image reconstruction effect, and the optimization of the algorithm also needs to consider the characteristics of the measurement base. [0003] In the prior art, all measurement bases are usually used for measurement before reconstruction, or a zigzag path is...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/42
CPCG06T7/0002G06T7/42G06T2207/30168G06T2207/20052
Inventor 赵琳琳袁梓豪李明飞孙晓洁刘院省
Owner BEIJING INST OF AEROSPACE CONTROL DEVICES
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