A hyperspectral image optimizing method based on sub-pixel MTF analysis

Yun Wang; Kai Li; Jinqiang Wang; Yajie Zhu

doi:10.1117/12.2182747

13 April 2015 A hyperspectral image optimizing method based on sub-pixel MTF analysis

Yun Wang, Kai Li, Jinqiang Wang, Yajie Zhu

Proceedings Volume 9522, Selected Papers from Conferences of the Photoelectronic Technology Committee of the Chinese Society of Astronautics 2014, Part II; 95222Y (2015) https://doi.org/10.1117/12.2182747
Event: Selected Proceedings of the Photoelectronic Technology Committee Conferences held August-October 2014, 2014, China, China

Abstract

Hyperspectral imaging is used to collect tens or hundreds of images continuously divided across electromagnetic spectrum so that the details under different wavelengths could be represented. A popular hyperspectral imaging methods uses a tunable optical band-pass filter settled in front of the focal plane to acquire images of different wavelengths. In order to alleviate the influence of chromatic aberration in some segments in a hyperspectral series, in this paper, a hyperspectral optimizing method uses sub-pixel MTF to evaluate image blurring quality was provided. This method acquired the edge feature in the target window by means of the line spread function (LSF) to calculate the reliable position of the edge feature, then the evaluation grid in each line was interpolated by the real pixel value based on its relative position to the optimal edge and the sub-pixel MTF was used to analyze the image in frequency domain, by which MTF calculation dimension was increased. The sub-pixel MTF evaluation was reliable, since no image rotation and pixel value estimation was needed, and no artificial information was introduced. With theoretical analysis, the method proposed in this paper is reliable and efficient when evaluation the common images with edges of small tilt angle in real scene. It also provided a direction for the following hyperspectral image blurring evaluation and the real-time focal plane adjustment in real time in related imaging system.

Citation Download Citation

Yun Wang, Kai Li, Jinqiang Wang, and Yajie Zhu "A hyperspectral image optimizing method based on sub-pixel MTF analysis", Proc. SPIE 9522, Selected Papers from Conferences of the Photoelectronic Technology Committee of the Chinese Society of Astronautics 2014, Part II, 95222Y (13 April 2015); https://doi.org/10.1117/12.2182747

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KEYWORDS

Modulation transfer functions

Image quality

Hyperspectral imaging

Image analysis

Image processing

Image segmentation

Imaging systems

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