Dark Channel and Cross Channel Based Multi-Prior Combined Multi-Spectral Super-Resolution Algorithm

Shen Shi; Zengshan Yin; Long Wang

doi:10.3788/AOS202242.1010001

[1] Park S C, Park M K, Kang M G. Super-resolution image reconstruction: a technical overview[J]. IEEE Signal Processing Magazine, 20, 21-36(2003).

[2] Rohith G, Kumar L S. Paradigm shifts in super-resolution techniques for remote sensing applications[J]. The Visual Computer, 37, 1965-2008(2021).

[3] Liu H, Gu Y F, Wang T F et al. Satellite video super-resolution based on adaptively spatiotemporal neighbors and nonlocal similarity regularization[J]. IEEE Transactions on Geoscience and Remote Sensing, 58, 8372-8383(2020).

[4] Chen N, Sui L C, Zhang B et al. Single satellite imagery superresolution based on hybrid nonlocal similarity constrained convolution sparse coding[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 7489-7505(2020).

[5] Dong W S, Fu F Z, Shi G M et al. Hyperspectral image super-resolution via non-negative structured sparse representation[J]. IEEE Transactions on Image Processing, 25, 2337-2352(2016).

[6] Mullah H U, Deka B. Prasad A V V. Fast multi-spectral image super-resolution via sparse representation[J]. IET Image Processing, 14, 2833-2844(2020).

[7] Hardiansyah B, Lu Y. Single image super-resolution via multiple linear mapping anchored neighborhood regression[J]. Multimedia Tools and Applications, 80, 28713-28730(2021).

[8] Gao G W, Zhu D, Lu H M et al. Robust facial image super-resolution by kernel locality-constrained coupled-layer regression[J]. ACM Transactions on Internet Technology, 21, 67(2021).

[9] Kanakaraj S, Nair M S, Kalady S. Adaptive importance sampling unscented Kalman filter with kernel regression for SAR image super-resolution[J]. IEEE Geoscience and Remote Sensing Letters, 19, 4004305(2022).

[10] Wen BH, Kamilov US, Liu DH, et al.Deepcasd: an end-to-end approach for multi-spectral image super-resolution[C]∥2018 IEEE International Conference on Acoustics, Speech and Signal Processing, April 15-20, 2018, Calgary, AB, Canada. New York: IEEE Press, 2018: 6503- 6507.

[11] Arun P V, Buddhiraju K M, Porwal A et al. CNN based spectral super-resolution of remote sensing images[J]. Signal Processing, 169, 107394(2020).

[12] Jiang K, Wang Z Y, Yi P et al. GAN-based multi-level mapping network for satellite imagery super-resolution[C]∥2019 IEEE International Conference on Multimedia and Expo, July 8-12, 2019, Shanghai, China., 526-531(2019).

[13] Bhat G. Danelljan M, van Gool L, et al. Deep burst super-resolution[C]∥2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 20-25, 2021, Nashville, TN, USA., 9205-9214(2021).

[14] Jiang Y H, Lu Y W, Dong L L et al. Multi-frame image super-resolution algorithm based on small amount of data[C]∥2020 IEEE 5th International Conference on Image, Vision and Computing, July 10-12, 2020, Beijing, China., 118-122(2020).

[15] Ji X Z, Cao Y, Tai Y et al. Real-world super-resolution via kernel estimation and noise injection[C]∥2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, June 14-19, 2020, Seattle, WA, USA., 1914-1923(2020).

[16] Umer R M, Foresti G L, Micheloni C. Deep generative adversarial residual convolutional networks for real-world super-resolution[C]∥2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, June 14-19, 2020, Seattle, WA, USA., 1769-1777(2020).

[17] Ledig C, Theis L. Husza r F, et al. Photo-realistic single image super-resolution using a generative adversarial network[C]∥2017 IEEE Conference on Computer Vision and Pattern Recognition, July 21-26, 2017, Honolulu, HI, USA., 105-114(2017).

[18] Pan Z, Tan Z, Lü Q B. A deep multi-frame super-resolution network for dynamic scenes[J]. Applied Sciences, 11, 3285(2021).

[19] Bhat G, Danelljan M, Yu F et al. -08-18)[2021-08-19]. https:∥arxiv., org/abs/2108, 08286(2021).

[20] Arefin M R, Michalski V. St-Charles P L, et al. Multi-image super-resolution for remote sensing using deep recurrent networks[C]∥2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, June 14-19, 2020, Seattle, WA, USA., 816-825(2020).

[21] Fritsche M, Gu S H, Timofte R. Frequency separation for real-world super-resolution[C]∥2019 IEEE/CVF International Conference on Computer Vision Workshop, October 27-28, 2019, Seoul, Korea (South)., 3599-3608(2019).

[22] Hou X, Wang P, An W. Frequency domain super-resolution of staggered imaging system[J]. Proceedings of SPIE, 11781, 117810Y(2021).

[23] Fan C, Wu C Y, Li G et al. Projections onto convex sets super-resolution reconstruction based on point spread function estimation of low-resolution remote sensing images[J]. Sensors, 17, 362(2017).

[24] Ma Z J, Ren G Q. Projection onto the convex sets model based on non-downsampling contourlet transform and high-frequency iteration[J]. Electronics Letters, 56, 1054-1056(2020).

[25] Ye D J, Zhou B, Zhong B Y et al. POCS-based super-resolution image reconstruction using local gradient constraint[C]∥, 274-277(2019).

[26] Irmak H, Akar G B, Yuksel S E[J]. A MAP-based approach for hyperspectral imagery super-resolution IEEE Transactions on Image Processing, 27, 2942-2951.

[27] Zhang C Z, Feng H J, Xu Z H et al. Multi-frame image super resolution with natural image prior[C]∥2018 IEEE 3rd International Conference on Signal and Image Processing, July 13-15, 2018, Shenzhen, China., 287-291(2018).

[28] do Nascimento T P, Salles E O T. Multi-frame super-resolution combining demons registration and regularized Bayesian reconstruction[J]. IEEE Signal Processing Letters, 27, 2009-2013(2020).

[29] Villena S, Vega M, Babacan S D et al. Bayesian combination of sparse and non-sparse priors in image super resolution[J]. Digital Signal Processing, 23, 530-541(2013).

[30] Liu C, Sun D Q. On Bayesian adaptive video super resolution[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 36, 346-360(2014).

[31] Pickup L C, Capel D P, Roberts S J et al. Bayesian methods for image super-resolution[J]. The Computer Journal, 52, 101-113(2007).

[32] Khattab M M, Zeki A M, Alwan A A et al. Multi-frame super-, 18882192(2018).

[33] Xu Z G, Ma Q, Yuan F X. Single color image super-resolution using sparse representation and color constraint[J]. Journal of Systems Engineering and Electronics, 31, 266-271(2020).

[34] Heide F, Rouf M, Hullin M B et al. High-quality computational imaging through simple lenses[J]. ACM Transactions on Graphics, 32, 149-151(2013).

[35] Pan J S, Sun D Q, Pfister H et al. Blind image deblurring using dark channel prior[C]∥2016 IEEE Conference on Computer Vision and Pattern Recognition, June 27-30, 2016, Las Vegas, NV, USA., 1628-1636(2016).

[36] Bioucas-Dias J M, Figueiredo M A T, Oliveira J P. Total variation-, 9209295(2006).

[37] Xu L, Lu C W, Xu Y et al. Image smoothing via L0 gradient minimization[C]∥Proceedings of the 2011 SIGGRAPH Asia Conference on-SA’11, December 12-15, 2011, Hong Kong, China., 1-12(2011).

[38] Herold I, Young S S. Super-resolution for color imagery[C]∥2017 IEEE Applied Imagery Pattern Recognition Workshop, October 10-12, 2017, Washington, DC, USA., 18078955(2017).

[39] Shi S, Xiangli B, Yin Z S. Multiframe super-resolution of color images based on cross channel prior[J]. Symmetry, 13, 901(2021).

[40] Meuel H, Munderloh M, Reso M et al. Mesh-based piecewise planar motion compensation and optical flow clustering for ROI coding[J]. APSIPA Transactions on Signal and Information Processing, 4, e13(2015).

[41] Farsiu S, Elad M, Milanfar P. Multiframe demosaicing and super-resolution of color images[J]. IEEE Transactions on Image Processing, 15, 141-159(2006).