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High dynamic range image fusion method in compressed sensing domain based on NSCT and PCNN

A high dynamic range, compressed sensing domain technology, applied in the field of image processing, can solve the problem of redundant sampling and high computational complexity

Active Publication Date: 2019-07-05
SUN YAT SEN UNIV
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  • Abstract
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Problems solved by technology

[0003] The prior art of the present invention has the problems of redundant sampling and high computational complexity in the fusion process, and provides a high-resolution sensing domain based on NSCT and PCNN. Dynamic Range Image Fusion Method

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  • High dynamic range image fusion method in compressed sensing domain based on NSCT and PCNN
  • High dynamic range image fusion method in compressed sensing domain based on NSCT and PCNN

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Embodiment Construction

[0099] The accompanying drawings are for illustrative purposes only and cannot be construed as limiting the patent;

[0100] In order to better illustrate this embodiment, some parts in the drawings will be omitted, enlarged or reduced, and do not represent the size of the actual product;

[0101] For those skilled in the art, it is understandable that some well-known structures and descriptions thereof may be omitted in the drawings.

[0102] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0103] Such as figure 1 As shown, a high dynamic range image fusion method in the compressed sensing domain based on NSCT and PCNN includes the following steps:

[0104] 1) if image 3 Shown is the multi-exposure image sequence to be input, and the input multi-exposure image sequence is normalized;

[0105] 2) Perform radiometric calibration using the camera response function on the normali...

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Abstract

The invention discloses a high dynamic range image fusion method in a compressed sensing domain based on NSCT and PCNN. The high dynamic range image fusion method comprises the following steps: 1) carrying out normalization processing on an input multi-exposure image sequence; 2) performing radiation calibration on the normalized multi-exposure image sequence by using a camera response function; 3) performing NSCT conversion on the multi-exposure image sequence after radiation calibration to obtain low and high frequency coefficients of each image; 4) performing compression sampling on the high-frequency coefficient of each image; 5) calculating the spatial frequencies of the low-frequency coefficient and the high-frequency coefficient of each image to serve as excitation signals of the PCNN, and carrying out fusion through a maximum decision; 6) carrying out compressed sensing reconstruction on the fused high-frequency coefficient; and 7) carrying out NSCT inverse transformation on the fused low-frequency coefficient and high-frequency coefficient to obtain a target high-dynamic-range image, completing the fusion of the multi-exposure low-dynamic-range image sequence while carrying out compressed sensing reconstruction by utilizing the NSCT, the PCNN and a compressed sensing method, and finally generating a high-dynamic-range image containing rich details.

Description

technical field [0001] The present invention relates to the technical field of image processing, and more specifically, relates to a high dynamic range image fusion method in the compressed sensing domain based on NSCT and PCNN. Background technique [0002] Digital images are widely used in various fields, and it is generally required that the acquired images restore rich scene details as much as possible. However, thousands of color changes presented by the wide dynamic range of the scene pose a huge challenge to digital images. Limited by the limited dynamic range of the imaging sensor, it is often impossible to capture the brightness of the full dynamic range of the real scene, so high dynamic range image imaging and display technology emerged as the times require. At present, the method of multi-exposure image fusion is mostly used to obtain high dynamic range images, that is, a series of images captured at different exposure times of the same scene are fused, thereby ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/50G06T5/00
CPCG06T5/50G06T2207/20048G06T2207/20221G06T2207/20084G06T2207/20052G06T2207/20024G06T5/90
Inventor 谭洪舟吴炆芳朱雄泳陈荣军陆许明
Owner SUN YAT SEN UNIV
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