Research on compressive imaging technology based on image blocking

Zhi-quan Zhang; Sheng Ding

doi:10.1117/12.2034803

11 September 2013 Research on compressive imaging technology based on image blocking

Zhi-quan Zhang, Sheng Ding

Proceedings Volume 8907, International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications; 89074O (2013) https://doi.org/10.1117/12.2034803
Event: ISPDI 2013 - Fifth International Symposium on Photoelectronic Detection and Imaging, 2013, Beijing, China

Abstract

Although infrared focal plane imaging technology has been widely used in target detection and orientation, reducing pixel-pitch or increasing the number of infrared sensor array pixels was unable to meet the practical requirement for the restriction of infrared sensor’s processing technology. This paper proposes a approach that apply multi-element detector array in CS imaging system. The coded measurement technology which uses optical mask and realizes compressed sampling of target scene is described in this paper, on the basis of summarizing CS theory and algorithm. Considering the fact that the reconstruction process of large size image lasts a long time, this paper also presents a high quality image partition CS method, which requires less computing time. The simulation results point the best choice for image partition which requires the least computing time. The validity of this method also been testified using Lena gray image. Finally, according to the inconformity of recovered image via TVQC and TVEQ in pixel lever induced by image stitching, this paper presents a method to decrease the gray differences between recovered imag e blocks. Such method can effectively improve the PSNR value of recovered image, which provides a effective reference in high-resolution infrared CS imaging.

Citation Download Citation

Zhi-quan Zhang and Sheng Ding "Research on compressive imaging technology based on image blocking", Proc. SPIE 8907, International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications, 89074O (11 September 2013); https://doi.org/10.1117/12.2034803

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KEYWORDS

Image restoration

Image processing

Image quality

Infrared imaging

Reconstruction algorithms

Infrared detectors

Infrared radiation

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