On Image Complexity in Viewpoint of Image Processing Performance

Vladimir V. Lukin, Sergey S. Krivenko, Fangfang Li, Sergey Abramov, Viktor Makarichev
2022 International Workshop on Intelligent Information Technologies & Systems of Information Security  
It is well known that image processing efficiency considerably depends on image properties. Among operations of image processing, we mean quality assessment, noise characteristic estimation, lossless and lossy compression, denoising, etc. In many papers, such terms as "image complexity", "rich image content", "highly textural image" are used. Their meaning is intuitively clear and described verbally but there is a limited amount of quantitative estimation and analysis. In this paper, we show
more » ... t there is a very high correlation of performance of different operations of image processing like characteristics of lossless and lossy compression, blind variance estimation and denoising and so on. We also recall what quantitative parameters indirectly describe image complexity for different operations of image processing.
dblp:conf/intelitsis/LukinKLAM22 fatcat:txpjhwph5rgevlbqhgx7jwqdzq