6533b82afe1ef96bd128caa5

RESEARCH PRODUCT

Regularization Method in Infrared Image Processing

Stefan DatcuNacim RamdaniYves CandauSimone MatteïLaurent Ibos

subject

Tikhonov regularizationKernel (image processing)Diagonal formbusiness.industrySystem of measurementFrequency domainImage processingComputer visionArtificial intelligencebusinessRegularization (mathematics)Image restorationMathematics

description

Abstract Infrared images often present distortions induced by the measurement system. Thus, image processing is a vital part of infrared measurements. A distortion model based on a convolution product is presented. Image restoration is an ill-posed problem and its solution can be obtained using regularization methods. In this paper, 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 two-dimensional Fourier space. The restoration procedure is used to restore a knife-edge infrared source image.

yearjournalcountryeditionlanguage
2003-09-01IFAC Proceedings Volumes
https://doi.org/10.1016/s1474-6670(17)35001-2