Modification of the method of multicriteria image processing for preprocessing thermal imaging images with adaptive change in filtering parameters based on neural network approaches

Evgenii Semenishchev; Sos Agaian; Aleksandr Zelensky; Evgenii Surkov; Ilia Khamidullin; Viacheslav Voronin

doi:10.1117/12.2623050

27 May 2022 Modification of the method of multicriteria image processing for preprocessing thermal imaging images with adaptive change in filtering parameters based on neural network approaches

Evgenii Semenishchev, Sos Agaian, Aleksandr Zelensky, Evgenii Surkov, Ilia Khamidullin, Viacheslav Voronin

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Proceedings Volume 12100, Multimodal Image Exploitation and Learning 2022; 121000R (2022) https://doi.org/10.1117/12.2623050
Event: SPIE Defense + Commercial Sensing, 2022, Orlando, Florida, United States

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Abstract

The article presents a noise reduction method based on minimizing a multicriteria objective function. The technique makes it possible to perform minimization according to the criteria of the root-mean-square difference of the deviation between adjacent estimates of pixel values (vertical, horizontal) and between the mean-square difference of the input elements and the resulting estimates. The first criterion allows you to reduce the noise component in locally stationary areas of the image, the second to preserve the boundaries of transitions between objects. In the article, the adaptation of the choice of the processing parameter is performed using a trained neural network. The training was carried out on standard test images from widely used databases (Kodak, MS COCO, etc.). Tables comparing the effectiveness of the proposed adaptation algorithm to the previously applied approach are given.

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Evgenii Semenishchev, Sos Agaian, Aleksandr Zelensky, Evgenii Surkov, Ilia Khamidullin, and Viacheslav Voronin "Modification of the method of multicriteria image processing for preprocessing thermal imaging images with adaptive change in filtering parameters based on neural network approaches", Proc. SPIE 12100, Multimodal Image Exploitation and Learning 2022, 121000R (27 May 2022); https://doi.org/10.1117/12.2623050

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