Abstract
A digital image conveys much information as these are the two-dimensional representation of a three-dimensional real-world scene, usually captured by a camera. This characteristic of the image is advantageous and is used in several applications, viz. security, weather forecasting, surveillance, health care, etc. Due to low-lighting conditions, the camera’s performance gets affected severely, resulting in poor quality of the captured images. Many times the acquired image contains areas that have poor contrast. Color losses can be observed in the captured image in certain situations. To overcome these issues, an image enhancement technique is incorporated to increase the overall quality of the image. Various image enhancement techniques have been developed in the past. In this paper, an image enhancement technique has been proposed based on multiscale retinex using a guided filter and a customized sigmoid function. The proposed technique gives better qualitative and quantitative performance evaluation results than existing techniques.
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Acknowledgements
This work was supported by the Science and Engineering Research Board (SERB), Department of Science and Technology (DST), New Delhi, India, under Grant No. CRG/2020/001982.
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Khare, M., Bhanwal, P., Agrawal, Y. (2023). Improved Multiscale Retinex for Image Enhancement Using Guided Filter and Customized Sigmoid Function. In: Noor, A., Saroha, K., Pricop, E., Sen, A., Trivedi, G. (eds) Proceedings of Third Emerging Trends and Technologies on Intelligent Systems. ETTIS 2023. Lecture Notes in Networks and Systems, vol 730. Springer, Singapore. https://doi.org/10.1007/978-981-99-3963-3_52
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DOI: https://doi.org/10.1007/978-981-99-3963-3_52
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