期刊
OPTICAL ENGINEERING
卷 43, 期 3, 页码 648-657出版社
SPIE-INT SOCIETY OPTICAL ENGINEERING
DOI: 10.1117/1.1645846
关键词
infrared imaging; deconvolution; image restoration; Fourier optics; aberrations; point spread function; modulation transfer function; diffraction
类别
Infrared images often present distortions induced by the measurement system. Image processing is thus an essential part of infrared measurements. A distortion model based on a convolution product is presented. The analytical form of the convolution kernel has been obtained from an image formation theory, along with an analysis of the sampling of the focal plane array camera detector's matrix. Image restoration is an ill-posed problem, and its solution can be obtained using regularization methods. In this work, image restoration is performed using a variation of Tikhonov regularization that makes use of the particular form of the convolution kernel matrix, which is built as a block-circulant matrix that admits a diagonal form in the 2-D Fourier space. The restoration procedure is used to restore a knife-edge infrared source image. (C) 2004 Society of Photo-Optical Instrumentation Engineers.
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