Observation matrix optimization method

A technology of observation matrix and optimization method, which is applied in the field of image processing, can solve problems such as unsatisfactory quality of reconstructed light field, achieve the effect of improving the quality of reconstructed light field, reducing storage space, and improving the quality of light field reconstruction

Inactive Publication Date: 2016-06-01
BEIJING UNIV OF TECH
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Problems solved by technology

[0008] In the current method, the quality o

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Embodiment Construction

[0018] Such as figure 1 As shown, this observation matrix optimization method, the method includes the following steps:

[0019] (1) To explore the process of the observation matrix function in light field photography based on compressed sensing;

[0020] (2) Deduce the structured observation matrix P according to the special structure of the camera;

[0021] (3) Utilize sparse dictionary training algorithm to carry out dictionary training from sample library, obtain dictionary D;

[0022] (4) Combining with the structured observation matrix P, according to the inconsistency between the observation matrix and the dictionary in compressed sensing, an optimized solution algorithm is designed to obtain the optimized observation matrix OP.

[0023] The present invention improves the reconstruction quality of the light field by synergistically optimizing the observation and dictionary training methods, and collects the most useful partial signals of the light field by optimizing ...

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Abstract

The invention discloses an observation matrix optimization method which can reduce storage space of a light field and greatly enhance the quality of the reconstructed light field. The method comprises the steps that (1) the affecting process of an observation matrix based on a compression perception light field photography technology is explored; (2) a structured observation matrix P is inferred according to the special structure of a camera; (3) dictionary training is performed from a sample library by utilizing a sparse dictionary training algorithm so that a dictionary D is obtained; and (4) an optimized solving algorithm is designed according to inconsistency of the observation matrix in compression perception and the dictionary with combination of the structured observation matrix P so that an optimized observation matrix P is obtained.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to an observation matrix optimization method. Background technique [0002] Compressed sensing (compressed sensing, CS) is a novel theory that has emerged in recent years. It is different from the traditional Nyquist sampling theorem, which points out that as long as the signal is compressible or sparse in a certain transform domain, then the transformed high-dimensional The signal is projected onto a low-dimensional space, and then the original signal can be reconstructed with high probability from these few projections by solving an optimization problem. The signal reconstruction of compressed sensing can often be transformed into a solution to an optimal sparse representation problem. Methods for solving such problems include mathematical programming algorithm, greedy algorithm, convex set projection algorithm, etc. [0003] The light field is a parametric...

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Application Information

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IPC IPC(8): H03M7/30
CPCH03M7/3062
Inventor 施云惠臧秀环刘浩葛启彬丁文鹏尹宝才
Owner BEIJING UNIV OF TECH
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