The Academic Perspective Procedia publishes Academic Platform symposiums papers as three volumes in a year. DOI number is given to all of our papers.
Publisher : Academic Perspective
Journal DOI : 10.33793/acperpro
Journal eISSN : 2667-5862
[1] Li C, Guo C, Ren W, Cong R, Hou J, Kwong S, Tao D. An underwater image enhancement benchmark dataset and beyond. IEEE Transactions on Image Processing 2020;29:4376–89.
[2] Islam MJ, Xia Y, Sattar J. Fast underwater image enhancement for improved visual perception. IEEE Robotics and Automation Letters 2020;5(2):3227–34.
[3] Zhou J, Li B, Zhang D, Yuan J, Zhang W, Cai Z, Shi J. UGIF-Net: An efficient fully guided information flow network for underwater image enhancement. IEEE Transactions on Geoscience and Remote Sensing 2023;61:1–17.
[4] Akkaynak D, Treibitz T, Shlesinger T, Loya Y, Tamir R, Iluz D. What is the space of attenuation coefficients in underwater computer vision? In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 2017. p. 4931–40.
[5] Akkaynak D, Treibitz T. A revised underwater image formation model. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 2018.
[6] Peng L, Zhu C, Bian L. U-shape transformer for underwater image enhancement. IEEE Transactions on Image Processing 2023;32:3066–79.
[7] Cong R, Yang W, Zhang W, Li C, Guo CL, Huang Q, Kwong S. PUGAN: Physical model-guided underwater image enhancement using GAN with dual-discriminators. IEEE Transactions on Image Processing 2023;32:4472–85.
[8] Liu R, Fan X, Zhu M, Hou M, Luo Z. Real-world underwater enhancement: Challenges, benchmarks, and solutions under natural light. IEEE Transactions on Circuits and Systems for Video Technology 2020;30(12):4861–75.
[9] Zhuang P, Wu J, Porikli F, Li C. Underwater image enhancement with hyper-laplacian reflectance priors. IEEE Transactions on Image Processing 2022;31:5442–55.
[10] Wang H, Sun S, Ren P. Meta underwater camera: A smart protocol for underwater image enhancement. ISPRS Journal of Photogrammetry and Remote Sensing 2023;195:462–81.
[11] He K, Sun J, Tang X. Single image haze removal using dark channel prior. IEEE Transactions on Pattern Analysis and Machine Intelligence 2011;33(12):2341–53.
[12] Chiang JY, Chen YC. Underwater image enhancement by wavelength compensation and dehazing. IEEE Transactions on Image Processing 2012;21(4):1756–69.
[13] Drews PL, Nascimento ER, Botelho SS, Campos MFM. Underwater depth estimation and image restoration based on single images. IEEE Computer Graphics and Applications 2016;36(2):24–35.
[14] Peng YT, Cao K, Cosman PC. Generalization of the dark channel prior for single image restoration. IEEE Transactions on Image Processing 2018;27(6):2856–68.
[15] Liang Z, Ding X, Wang Y, Yan X, Fu X. GUDCP: Generalization of underwater dark channel prior for underwater image restoration. IEEE Transactions on Circuits and Systems for Video Technology 2022;32(7):4879–88.
[16] Zhuang P, Li C, Wu J. Bayesian retinex underwater image enhancement. Engineering Applications of Artificial Intelligence 2021;101:104171.
[17] Zhang W, Dong L, Xu W. Retinex-inspired color correction and detail preserved fusion for underwater image enhancement. Computers and Electronics in Agriculture 2022;192:106585.
[18] Ancuti CO, Ancuti C, De Vleeschouwer C, Bekaert P. Color balance and fusion for underwater image enhancement. IEEE Transactions on Image Processing 2018;27(1):379–93.
[19] Zhang W, Zhuang P, Sun HH, Li G, Kwong S, Li C. Underwater image enhancement via minimal color loss and locally adaptive contrast enhancement. IEEE Transactions on Image Processing 2022;31:3997–4010.
[20] Li C, Anwar S, Porikli F. Underwater scene prior inspired deep underwater image and video enhancement. Pattern Recognition 2020;98:107038.
[21] Jiang Z, Li Z, Yang S, Fan X, Liu R. Target oriented perceptual adversarial fusion network for underwater image enhancement. IEEE Transactions on Circuits and Systems for Video Technology 2022;32(10):6584–6598.
[22] Guo Y, Li H, Zhuang P. Underwater image enhancement using a multiscale dense generative adversarial network. IEEE Journal of Oceanic Engineering 2019;45(3):862–70. [
23] Wang W, Yan D, Wu X, He W, Chen Z, Yuan X, Li L. Low-light image enhancement based on virtual exposure. Signal Processing: Image Communication 2023;118:117016.
[24] Islam MJ, Xia Y, Sattar J. Fast underwater image enhancement for improved visual perception. IEEE Robotics and Automation Letters 2020;5:3227–3234.
[25] Wang Z, Bovik AC, Sheikh HR, Simoncelli EP. Image quality assessment: from error visibility to structural similarity. IEEE Transactions on Image Processing 2004;13(4):600–612.
[26] Hou G, Pan Z, Huang B, Wang G, Luan X. Hue preserving-based approach for underwater colour image enhancement. IET Image Processing 2018;12(2):292–298.
[27] Peng YT, Cosman PC. Underwater image restoration based on image blurriness and light absorption. IEEE Transactions on Image Processing 2017;26(4):1579–1594.
[28] Qi Q, Li K, Zheng H, Gao X, Hou G, Sun K. SGUIE-Net: Semantic attention guided underwater image enhancement with multi-scale perception. IEEE Transactions on Image Processing 2022;31:6816–6830.
[29] Liu R, Jiang Z, Yang S, Fan X. Twin adversarial contrastive learning for underwater image enhancement and beyond. IEEE Transactions on Image Processing 2022;31:4922–4936.