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Conference material: "Proceedings of the International Conference on Computer Graphics and Vision Graphicon (19-21 September 2023, Moscow)"
Authors: Nazarenko G.S., Nasonov A.V., Krylov A.S.
Method for searching blur areas in histological images
The article is devoted to the problem of detecting blurred areas in high-resolution full-slide histological images. The proposed method is based on the use of two approaches: blur detection using multiscale analysis of discrete cosine transform coefficients and assessing the degree of sharpness of object boundaries in the image. The effectiveness of the algorithm is verified on synthetically blurred images as well as real full-slide images from the PATH-DT-MSU dataset.
Blur detection, histological images, discrete cosine transform, image sharpening
Publication language: russian,  pages: 13 (p. 620-632)
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About authors:
  • Nazarenko G.S., Moscow State University
  • Nasonov Andrei Vladimirovich, Moscow State University
  • Krylov Andrey Serdjevich, Moscow State University