Computing imaging system and method

Abstract

The invention discloses a computing imaging system and method. The computing imaging system comprises: a CCD camera with a single lens, a data communication interface, a first controller, a memory anda second controller; the data communication interface is connected to the CCD camera; the first controller is connected to the data communication interface; the memory is connected to the first controller; and the second controller is connected to the first controller and the memory separately. The invention simplifies the optical-mechanical structure of an existing front lens through the above arrangement, and does not need to use a computer for image restoration; therefore, overall light-weight trend is realized, and recovery accuracy is improved.

Description

technical field [0001] The invention relates to the technical field of computational imaging, in particular to a computational imaging system and method. Background technique [0002] Computational imaging is the product of the integration of traditional optics, mathematics and information processing, and has good application prospects in military, civilian and biomedical fields. With the continuous increase of people's demand for high-quality images, the design of modern optical imaging systems is becoming more and more complex. In order to better eliminate the imaging blur caused by lens aberration, the lenses of SLR cameras are designed to combine dozens of different types of lenses, and the precision of lens design is getting higher and higher. Although the precise lens design improves the imaging quality, there are problems such as complex design, high price, and bulky volume. At the same time, there are complex assembly and adjustment processes, which limit the flexib...

AI Technical Summary

Problems solved by technology

Although the precise lens design improves the imaging quality, there are problems such as complex design, high price, and bulky volume. At the same time, there are complex assembly and adjustment processes, which limit the flexibility of use.

In addition, the existing computational imaging technology mostly uses personal computer post-processing methods for image restoration, and it is difficult to realize the integration of computational imaging equipment and improve the accuracy of image restoration

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