Abstract
This paper presents a novel and simple algorithm that uses adaptive intensity transformation function for color multispectral satellite images. This intensity transformation provides a solution to increase the quality of satellite images by using power law operator in natural R, G, and B color model. Firstly, the proposed technique uses Discrete Wavelet Transform (DWT) that decomposes the input satellite image in higher and lower four sub band. Thereafter, it computes the optimized value of the operator in lower sub band (LL) of DWT. The optimal value of operator is evaluated using nature inspired optimization algorithm (NIA) and applied correction factor using SVD. Finally, the corrected LL sub band takes IDWT with other unprocessed sub band. We measure its performance by using contrast assessment function (CAF) which is based on the luminance, entropy and contrast for different satellite images. The proposed method gives better metric values than other comparative state of art methods.
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Sharma, R., Ravinder, M., Sharma, N. et al. An optimal remote sensing image enhancement with weak detail preservation in wavelet domain. J Ambient Intell Human Comput 13, 1941–1952 (2022). https://doi.org/10.1007/s12652-021-02957-9
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DOI: https://doi.org/10.1007/s12652-021-02957-9