Fusion of overexposed and underexposed images using caputo differential operator for resolution and texture based enhancement
Yükleniyor...
Dosyalar
Tarih
2023
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
The visual quality of images captured under sub-optimal lighting conditions, such as over and underexposure may benefit from improvement using fusion-based techniques. This paper presents the Caputo Differential Operator-based image fusion technique for image enhancement. To effect this enhancement, the proposed algorithm first decomposes the overexposed and underexposed images into horizontal and vertical sub-bands using Discrete Wavelet Transform (DWT). The horizontal and vertical sub-bands are then enhanced using Caputo Differential Operator (CDO) and fused by taking the average of the transformed horizontal and vertical fractional derivatives. This work introduces a fractional derivative-based edge and feature enhancement to be used in conjuction with DWT and inverse DWT (IDWT) operations. The proposed algorithm combines the salient features of overexposed and underexposed images and enhances the fused image effectively. We use the fractional derivative-based method because it restores the edge and texture information more efficiently than existing method. In addition, we have introduced a resolution enhancement operator to correct and balance the overexposed and underexposed images, together with the Caputo enhanced fused image we obtain an image with significantly deepened resolution. Finally, we introduce a novel texture enhancing and smoothing operation to yield the final image. We apply subjective and objective evaluations of the proposed algorithm in direct comparison with other existing image fusion methods. Our approach results in aesthetically subjective image enhancement, and objectively measured improvement metrics.
Açıklama
This work is supported by the Foundation of National Key R&D Program of China [Grant number 2020YFC2008700]; the National Natural Science Foundation of China [Grant number 82072228]; the Foundation of Shanghai Municipal Commission of Economy and Informatization [Grant number 202001007]; the Foundation of the Program of Shanghai Academic/Technology Research Leader under the Science and Technology Innovation Action Plan [Grant number 22XD1401300]; the Foundation of the scientific research project of Shanghai Municipal Health Commission [Grant number 201940315] and Key Medical Subject of Jiading District [Grant number 2020-jdyxzdzk-02].; This work is also supported by DST, New Delhi under International Scientific Cooperation Program with project no. DST/INT/BLG/P05-2019.
Anahtar Kelimeler
Caputo Differential Operator, Discrete Wavelet Transform, Fractional Derivative, Fractional-Order Differentiation, Histogram Equalization, Edge
Kaynak
Applied Intelligence
WoS Q Değeri
Q2
Scopus Q Değeri
Q2
Cilt
53
Sayı
12
Künye
Zhou, L., Alenezi, F. S., Nandal, A., Dhaka, A., Wu, T., Koundal, D., ... & Polat, K. (2023). Fusion of overexposed and underexposed images using caputo differential operator for resolution and texture based enhancement. Applied Intelligence, 53(12), 15836-15854.
