Application of principal component analysis in image signal processing

Ruili Chang

doi:10.1117/12.2636807

29 April 2022 Application of principal component analysis in image signal processing

Ruili Chang

Proceedings Volume 12247, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2022); 1224709 (2022) https://doi.org/10.1117/12.2636807
Event: 2022 International Conference on Image, Signal Processing, and Pattern Recognition, 2022, Guilin, China

Abstract

Since there is often a huge amount of redundant information content in the native image data information extracted using conventional photographic devices, it is detrimental to the transmission, preservation, display and recognition of the original image data information. By using the principal component analysis method, the main characteristics of the original image can be obtained, thus reducing the relevant information content and redundant signals in the original image data information; subsequently, these methods have been applied to image signal processing, including offset correction of images, face recognition and image compression, and excellent experimental results have been achieved, further enriching and advancing the principal component analysis method in the field of image processing. It further enriches and promotes the extensive application of principal component analysis in image processing.

Citation Download Citation

Ruili Chang "Application of principal component analysis in image signal processing", Proc. SPIE 12247, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2022), 1224709 (29 April 2022); https://doi.org/10.1117/12.2636807

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