成像系统的线性空变模型及复原算法
ABSTRACT
Imaging quality is one of the key standards to scale the imaging system,also it’s
the most important thing when design a high quality imaging system. Typically ,the
optimization of the imaging system will make optical system more complex, also
increase the weight of the system even select some specific material which will greatly
increase the system cost, volume and weight. In the main idea, if we use the
traditionally optimizing way, it is difficult to balance among imaging quality, system
cost and volume or weight of imaging system.
Digital imaging technique is the outcome of fast development of electronic which
is based on optical imaging technology. The greatest advantage of this technique is that
the imaging result could be processed by means of Digital imaging processing. In this
paper, the imaging system is tried to be optimized by means of Digital imaging
processing.
In Digital imaging processing, most of the image restoration algorithm is focus on
the image degraded caused by noise. But in this paper, all algorithms are pointed on
how to restore the imaging error of the lens which is the root cause of imaging degrade.
So we can upgrade the imaging quality, eliminate the imaging error, but not have to
design a complex optical system.
In the paper, we will find that a degraded mode of a certain optical system is easy
to get thought the software ZEMAX and MATABLE. We could get the parameters of
the lens from ZEMAX, and then use MATABLE to build the degraded mode When have
the accuracy mode of the optical system, the space-variant algorithm could be take to
restore the degrade image.
In the paper, several algorithms are used to restore the image. At first, matrix
algorithm is used to recover image, after that the conception of adaptation & space-
variant is involved in the application of image restoration. And the compare of the
quality & effect of different algorithm with and without noise affect will be made.
In one words, the method has high practice meaning and application value of
optical system cost down and the aspect of studying image restoration algorithm.
Key Words: image restoration, space-variant system, degraded mode
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