In: Proceedings of the IEEE conference on advanced video and signal based surveillance.
Pizurica A, Zlokolica V, Philips W (2003) Combined wavelet domain and temporal video denoising. IEEE Trans Pattern Anal Mach Intell 12(7):629–639 Perona P, Malik J (1990) Scale-space and edge detection using anisotropic diffusion. Mallat S, Hwang WL (1992) Singularity detection and processing with wavelets. In: European conference on computer vision. Liu C, Freeman WT (2010) A high-quality video denoising algorithm based on reliable motion estimation. J Vis Commun Image Represent 8(4):405–422 Lee M, Chan RK, Adjeroh DA (1997) Quantization of 3d-dct coefficients and scan order for video compression. Kokaram AC (2013) Motion picture restoration: digital algorithms for artefact suppression in degraded motion picture film and video. In: IEEE digital signal processing workshop, vol 86. Kingsbury NG (1998) The dual-tree complex wavelet transform: a new technique for shift invariance and directional filters. Kingsbury N (1999) Image processing with complex wavelets. Jung A (2017) Comparison of video quality assessment methods The 2009 international symposium on web information systems and applications (WISA 2009). Jiansheng M, Sukang L, Xiaomei T (2009) A digital watermarking algorithm based on dct and dwt. In: Proceedings of the international conference on information systems design and intelligent applications 2012 (INDIA 2012) held in Visakhapatnam, India, January 2012.
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Gupta P, Srivastava P, Bhardwaj S, Bhateja V (2012) A novel full reference image quality index for color images. Guo Y, Lu Y, Liu RW, Yang M, Chui KT (2020) Low-light image enhancement with regularized illumination optimization and deep noise suppression. Gonzalez RC, Woods RE, Eddins SL (2004) Digital image processing using MATLAB.
Ghanbari M (2003) Standard codecs: image compression to advanced video coding. In: Proceedings of the IEEE/CVF winter conference on applications of computer vision, pp 2724–2734Įyadat M, Vasikarla S (2005) Performance evaluation of an incorporated dct block-based watermarking algorithm with human visual system model. IEEE Trans Image Process 16(8):2080–2095ĭewil V, Anger J, Davy A, Ehret T, Facciolo G, Arias P (2021) Self-supervised training for blind multi-frame video denoising. Expert Syst 32(1):132–140ĭabov K, Foi A, Katkovnik V, Egiazarian K (2007) Image denoising by sparse 3-d transform-domain collaborative filtering. of the mobile multimedia conference, 2000, CONFĬhakraborty S, Chatterjee A, Goswami SK (2015) A dual-tree complex wavelet transform-based approach for recognition of power system transients. IEEE Trans Image Process 14(12):2024–2039īurg AP, Keller R, Wassner J, Felber N, Fichtner W (2000) A 3d-dct real-time video compression system for low complexity single-chip vlsi implementation.
Trans Tech Publications Ltdīalster EJ, Zheng YF, Ewing RL (2005) Feature-based wavelet shrinkage algorithm for image denoising. In: Key engineering materials, vol 474, pp 846–851. Bai JY, Ren HE (2011) An algorithm of leaf image segmentation based on color features.
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