Optoelectronics Letters, Volume. 21, Issue 4, 242(2025)

Rendered image denoising method with filtering guided by lighting information

Minghui MA, Xiaojuan HU, Ripei ZHANG, Chunyi CHEN, and Haiyang YU
References(22)

[1] [1] SALEHI F, MANZI M, ROETHLIN G, et al. Deep adaptive sampling and reconstruction using analytic distributions[J]. ACM transactions on graphics, 2022, 41(6): 1-16.

[2] [2] ZHANG R, CHEN C, SHEN Z, et al. Rendering acceleration based on JND-guided sampling prediction[J]. Multimedia systems, 2024, 30(1): 6.

[3] [3] WANG L, SHI X, LIU Y. Foveated rendering: a state-of-the-art survey[J]. Computational visual media, 2023, 9(2): 195-228.

[4] [4] BUISINE J, BIGAND A, SYNAVE R, et al. Stopping criterion during rendering of computer-generated images based on SVD-entropy[J]. Entropy, 2021, 23(1): 75.

[5] [5] JIANG G, BERNHARD K. Deep radiance caching: convolutional autoencoders deeper in ray tracing[J]. Computers & graphics, 2021, 94: 22-31.

[6] [6] ROUSSELLE F, KNAUS C, ZWICKER M. Adaptive sampling and reconstruction using greedy error minimization[J]. ACM transactions on graphics, 2011, 30(6): 1-12.

[7] [7] SEN P, DARABI S. On filtering the noise from the random parameters in Monte Carlo rendering[J]. ACM transactions on graphics, 2012, 31(3): 18.

[8] [8] HE K, SUN J, TANG X. Guided image filtering[J]. IEEE transactions on pattern analysis and machine intelligence, 2012, 35(6): 1397-1409.

[9] [9] HUO Y, YOON S E. A survey on deep learning-based Monte Carlo denoising[J]. Computational visual media, 2021, 7(2): 17.

[10] [10] SONG M Z, QU H S, ZHANG G X, et al. Low-illumination image denoising method for wide-area search of nighttime sea surface[J]. Optoelectronics letters, 2018, 14(3): 226-231.

[11] [11] XING Q, CHEN C. Progressive path tracing with bilateral-filtering-based denoising[J]. Multimedia tools applications, 2021, 80(1): 1529-1544.

[12] [12] LANG S Q, CHEN C Y, SHEN Z Y, et al. Adaptive rendering algorithm based on visual-driven gradient field filtering reconstruction[J]. Journal of small microcomputers, 2022: 1-7.

[13] [13] HAN L G, CHEN C Y, SHEN Z Y, et al. Visual saliency-driven non-local denoising of rendered panoramic images[J]. Journal of image and graphics, 2024, 29(4): 0939-0952.

[14] [14] YANG K, CHEN C Y, HU X J, et al. Monte Carlo rendering image denoising algorithm using multiple feature non-local mean filter[J]. Journal of system simulation, 2022, 34(6): 1259-1266.

[15] [15] KALANTARI N K, BAKO S, SEN P. A machine learning approach for filtering Monte Carlo noise[J]. ACM transactions on graphics, 2015, 34(4): 1-12.

[16] [16] XING Q, CHEN C. Path tracing denoising based on SURE adaptive sampling and neural network[J]. IEEE access, 2020, 8: 116336-116349.

[17] [17] BALINT M, WOLSKI K, MYSZKOWSKI K, et al. Neural partitioning pyramids for denoising Monte Carlo renderings[J]. ACM SIGGRAPH 2023 conference proceedings, 2023: 1-11.

[18] [18] THAKUR R K, MAJI S K. Multi scale pixel attention and feature extraction based neural network for image denoising[J]. Pattern recognition, 2023, 141: 109603.

[19] [19] HAN K B, ODENTHAL O G, KIM W J, et al. Pixel-wise guidance for utilizing auxiliary features in Monte Carlo denoising[J]. Proceedings of the ACM on computer graphics and interactive techniques, 2023, 6(1): 1-19.

[20] [20] ALZBIER A M T, CHEN C, SHEN Z, et al. Fast dual deep convolutional autoencoder network for denoising Monte Carlo rendering[J]. Journal of imaging science & technology, 2023, 67(3): 30501.

[21] [21] YAO N, WANG Z, ZHANG J, et al. Unsupervised model-driven neural network based image denoising for transmission line monitoring[J]. Optoelectronics letters, 2023, 19(4): 248-251.

[22] [22] YANG X, WANG D, HU W, et al. DEMC: a deep dualencoder network for denoising Monte Carlo rendering[J]. Journal of computer science and technology, 2019, 34(5): 1123-1135.

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MA Minghui, HU Xiaojuan, ZHANG Ripei, CHEN Chunyi, YU Haiyang. Rendered image denoising method with filtering guided by lighting information[J]. Optoelectronics Letters, 2025, 21(4): 242

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Paper Information

Received: May. 21, 2024

Accepted: Feb. 28, 2025

Published Online: Feb. 28, 2025

The Author Email:

DOI:10.1007/s11801-025-4122-9

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