Abstract
The efficiency of object recognition algorithms, computer vision systems and image analysis directly depend on the quality of image preprocessing. Gradation correction is one of the stages of this preprocessing. The paper discusses three the most common models of gradation image correction, which are able to work on any brightness scale. Also in this paper, criteria for the quality of gradation correction are formulated. Experiments have been carried out that confirm the operability and computational efficiency of the considered models.
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Smelyakov, K., Chupryna, A., Hvozdiev, M., Sandrkin, D., Ruban, I., Voloshchuk, O. (2021). Unified Models of Gradation Image Correction. In: Radivilova, T., Ageyev, D., Kryvinska, N. (eds) Data-Centric Business and Applications. Lecture Notes on Data Engineering and Communications Technologies, vol 48. Springer, Cham. https://doi.org/10.1007/978-3-030-43070-2_14
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DOI: https://doi.org/10.1007/978-3-030-43070-2_14
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