High-quality linear interpolation for demosaicing of Bayer-patterned color images
By Henrique S. Malvar, Li-wei He, Ross Cutler. 2004
518 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition
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In Computer Vision and Pattern Recognition
- Luc Van Gool
- Radu Timofte
- Lei Zhang
- Wangmeng Zuo
- Kai Zhang
- Ming-Hsuan Yang
- Chen Change Loy
- Dacheng Tao
Citations in the corpus
- Deep Mean-Shift Priors for Image Restoration (2017, methodology): “We initialize our method with Matlab’s demosaic function [21].”
- Toward Convolutional Blind Denoising of Real Photographs (2018, background): “a response function (CRF), which converts irradiance L to the original clean image x. M() represent the function that convert sRGB image to Bayer image and M 1() represent the demosaicing function in [38]. Since the linear interpolation in M 1() involves pixels of dierent channel, the synthesis nois”
- Accelerator: using data parallelism to program GPUs for general-purpose uses (2006, unknown): “We use a recent high-quality algorithm [12].”
- The German Traffic Sign Recognition Benchmark: A multi-class classification competition (2011, methodology): “The video sequences are stored in raw Bayer-pattern format, but extracted traffic sign images are converted to RGB color images [7].”
- Plug-and-Play Image Restoration With Deep Denoiser Prior (2020, methodology): “The compared methods include matlab’s demosaic function [88], direc-”
- The Mars Science Laboratory Curiosity rover Mastcam instruments: Preflight and in‐flight calibration, validation, and data archiving (2017, methodology): “For normal RGB imaging through the broadband Filter 0 (Table 2 and Figure 3), the interpolation method employed within the instrument to produce color JPEG products is a hardware implementation of the algorithm developed by Malvar et al. [2004]. Section 5.”