A deep survey in the Applications of demosaicking
Author:
Affiliation:
1. China FAW Co., Ltd.,Intelligent Connected Vehicle Development Institute,Changchun,China
2. Jiangsu ToYou Research Institute of Information Intelligence and Technology,Nanjing,China
3. Motovis Intelligent Technologies (Shanghai) Co Ltd,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9695521/9695500/09695782.pdf?arnumber=9695782
Reference60 articles.
1. Joint Demosaicing and Subpixel-Based Down-Sampling for Bayer Images: A Fast Frequency-Domain Analysis Approach
2. A hybrid demosaicking algorithm using frequency domain and wavelet methods
3. DeepDemosaicking: Adaptive Image Demosaicking via Multiple Deep Fully Convolutional Networks
4. Deep joint demosaicking and denoising
5. Multidirectional Weighted Interpolation and Refinement Method for Bayer Pattern CFA Demosaicking
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1. Deep Learning Tone-Mapping and Demosaicing for Automotive Vision Systems;Sensors;2023-10-17
2. De-noising and Demosaicking of Bayer image using deep convolutional attention residual learning;Multimedia Tools and Applications;2023-01-26
3. Nonlinear filters based parallel demosaicking and denoising of natural images infected with non Gaussian noise;2022 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE);2022-12-30
4. Compression for Bayer CFA Images: Review and Performance Comparison;Sensors;2022-10-31
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