Abstract
In this paper, the problem of improving the efficiency of transforming the intensity of complex images by piecewise linear contrast stretching in an automatic mode was considered. A new technique of intensity transformation by recursive mean-separate contrast stretching (RMSCS) was proposed. Our proposed technique of RMSCS allows us to improve the image by piecewise-linear contrast stretching in automatic mode using an arbitrary number of mean-separate intervals. The proposed approach to defining the gain factors allows more evenly distributed the average brightness of objects in the image based on the analysis of the number of pixels and their cumulative sum in chosen intervals. The proposed technique provides an effective enhance the images without the appearance of unwanted artifacts through a more evenly distributes the average brightness of objects in an image. The results of the research confirm the effectiveness of the proposed approach to enhance images in automatic mode.
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Yelmanov, S., Romanyshyn, Y. (2020). Image Enhancement in Automatic Mode by Recursive Mean-Separate Contrast Stretching. In: Babichev, S., Peleshko, D., Vynokurova, O. (eds) Data Stream Mining & Processing. DSMP 2020. Communications in Computer and Information Science, vol 1158. Springer, Cham. https://doi.org/10.1007/978-3-030-61656-4_19
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