Study on method for geometric superresolution based on subpixel

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Study on method for geometric superresolution based on subpixel

Article | 更新时间：2020-08-13

- Study on method for geometric superresolution based on subpixel
- Optics and Precision Engineering Vol. 16, Issue 12, Pages: 2447-2453(2008)
- 作者机构：
  
  1. 中国科学院长春光学精密机械与物理研究所
  2. 中国科学院研究生院
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Received：06 June 2008，
  
  Revised：19 August 2008，
  
  Published Online：25 December 2008，
  
  Published：25 December 2008
- 稿件说明：
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徐正平,翟林培,葛文奇,赵秀影,刘研研. 基于亚像元CCD几何超分辨方法研究[J]. 光学精密工程, 2008,16(12):2447-2453

Study on method for geometric superresolution based on subpixel[J]. Optics and precision engineering, 2008, 16(12): 2447-2453.
徐正平,翟林培,葛文奇,赵秀影,刘研研. 基于亚像元CCD几何超分辨方法研究[J]. 光学精密工程, 2008,16(12):2447-2453 DOI：

Study on method for geometric superresolution based on subpixel[J]. Optics and precision engineering, 2008, 16(12): 2447-2453. DOI：

摘要

为了在现有CCD像元尺寸的基础上提高CCD像元分辨力，对CCD几何超分辨问题进行了研究。从研究现状入手，给出了现有算法及其存在的不足，建立了亚像元超分辨成像数学模型，提出了基于亚像元的CCD几何超分辨方法：两片线阵CCD集成在同一器件中，在线阵方向上错开半个像元，同时读出时间减半，最终交织重组图像数据，以合成高分辨率图像。利用MATLAB7.0.1软件对双线性插值方法及亚像元成像方法进行了仿真，并定性定量地比较两种方法的效果。结果显示：亚像元方法合成图像分辨率约为低分辨率图像的2倍，且PSNR比双线性插值图像高0.2dB。该方法可以实时合成高分辨率图像，显著地减轻欠采样引起的图像模糊。

Abstract

In order to enhance the resolution of CCD pixel while keeping the pixel dimension

the problem of CCD geometric superresolution is researched. Beginning with the actuality of superresolution

the existing methods and correlative shortcomings are given

and the mathematic model of the subpixel superresolution is constituted. The method for improving the geometric resolution of CCD based on subpixel is presented. Two linear CCDs

which are shifted by half dimension of the pixel in the line direction

are integrated in one component. In operation

the reading_out time is reduced by half. At last

the image data is interweaved to synthesize the high resolution image. Two methods

bilinear interpolation and sub_pixel imaging

are simulated with the software MATLAB7.0.1. The qualitative and quantitative analysis is given. The simulation show that in sub_pixel imaging method

the resolution of synthesized image

compared with low resolution image

is enhanced by about one times

and the PSNR

compared with bilinear interpolated image

is enhanced by 0.2 dB. Sub_pixel imaging method could synthesize high resolution image in real time

and the image blur

which is induced by under sampling

is mitigated greatly in this method.

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