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Demosaicking

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Most modern digital cameras acquire color images by measuring only one color channel per pixel, red, green, or blue, according to a specific pattern called the Bayer pattern. Demosaicking is the processing step that reconstruct a full color image given these incomplete measurements.

Source: Revisiting Non Local Sparse Models for Image Restoration

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/BoChenGroup/RevSCI-net

공식 코드

Memory-Efficient Network for Large-scale Video Compressive Sensing

https://github.com/GuoShi28/GCP-Net

공식 코드

Joint Denoising and Demosaicking with Green Channel Prior for Real-world Burst Images

https://github.com/SHI-Labs/Pyramid-Attention-Networks

공식 코드

Pyramid Attention Networks for Image Restoration

https://github.com/aiff22/pynet

공식 코드

Replacing Mobile Camera ISP with a Single Deep Learning Model

https://github.com/alfaiate/DeconvolutionIncompleteObs

공식 코드

A Framework for Fast Image Deconvolution with Incomplete Observations

https://github.com/anisamziane/rawtexture

공식 코드

Learning deep illumination-robust features from multispectral filter array images

https://github.com/bruno-31/groupsc

공식 코드

Fully Trainable and Interpretable Non-Local Sparse Models for Image Restoration

https://github.com/cig-skoltech/deep_demosaick

공식 코드

Iterative Joint Image Demosaicking and Denoising using a Residual Denoising Network

https://github.com/clausy9/bmtnet

공식 코드

Binarized Mamba-Transformer for Lightweight Quad Bayer HybridEVS Demosaicing

https://github.com/cszn/DPIR

공식 코드

Plug-and-Play Image Restoration with Deep Denoiser Prior

https://github.com/cucapra/approx-vision

공식 코드

Reconfiguring the Imaging Pipeline for Computer Vision

https://github.com/cynicarlos/retinexrawmamba

공식 코드

Retinex-RAWMamba: Bridging Demosaicing and Denoising for Low-Light RAW Image Enhancement

https://github.com/daiscvprojects/pfadn

공식 코드

Deep Demosaicing for Polarimetric Filter Array Cameras

https://github.com/danaroth83/jodefu

공식 코드

Joint demosaicing and fusion of multiresolution coded acquisitions: A unified image formation and reconstruction method

https://github.com/ddlee-cn/mulut

공식 코드

Toward DNN of LUTs: Learning Efficient Image Restoration with Multiple Look-Up Tables

https://github.com/egyptdj/skyb-aim2020-public

공식 코드

PyNET-CA: Enhanced PyNET with Channel Attention for End-to-End Mobile Image Signal Processing

https://github.com/guochengqian/TENet

공식 코드

Rethinking Learning-based Demosaicing, Denoising, and Super-Resolution Pipeline

https://github.com/guoshi28/2stagealign

공식 코드

A Differentiable Two-stage Alignment Scheme for Burst Image Reconstruction with Large Shift

https://github.com/guoshi28/vjdd

공식 코드

Toward Accurate and Temporally Consistent Video Restoration from Raw Data

https://github.com/hulitaotom/Joint-Multi-Scale-Tone-Mapping-and-Denoising-for-HDR-Image-Enhancement

공식 코드

Joint Multi-Scale Tone Mapping and Denoising for HDR Image Enhancement

https://github.com/jianzhangcs/dagl

공식 코드

Dynamic Attentive Graph Learning for Image Restoration

https://github.com/kuis-ai-tekalp-research-group/video-deinterlacing

공식 코드

A New Multi-Picture Architecture for Learned Video Deinterlacing and Demosaicing with Parallel Deformable Convolution and Self-Attention Blocks

https://github.com/lgs195/olvd

공식 코드

Efficient Polarization Demosaicking via Low-cost Edge-aware and Inter-channel Correlation

https://github.com/liuyang12/PnP-SCI_python

공식 코드

Plug-and-Play Algorithms for Video Snapshot Compressive Imaging

https://github.com/minhyeok01/pynet-qxq

공식 코드

PyNET-QxQ: An Efficient PyNET Variant for QxQ Bayer Pattern Demosaicing in CMOS Image Sensors

https://github.com/msuimpress/hardmax

공식 코드

Learning Binary Color Filter Arrays with Trainable Hard Thresholding

https://github.com/nikopj/cdlnet-ojsp

공식 코드

CDLNet: Noise-Adaptive Convolutional Dictionary Learning Network for Blind Denoising and Demosaicing

https://github.com/princeton-computational-imaging/DirtyPixels

공식 코드

Dirty Pixels: Towards End-to-End Image Processing and Perception

https://github.com/pris-cv/pidsr

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PIDSR: Complementary Polarized Image Demosaicing and Super-Resolution

https://github.com/queahren/demosaicformer

공식 코드

DemosaicFormer: Coarse-to-Fine Demosaicing Network for HybridEVS Camera

https://github.com/sabaridsn/MultilevelHyper_Vision_Net

공식 코드

Moire Image Restoration using Multi Level Hyper Vision Net

https://github.com/sdl-asu/acla

공식 코드

Adaptive Cross-Layer Attention for Image Restoration

https://github.com/sharif-apu/BJDD_CVPR21

공식 코드

Beyond Joint Demosaicking and Denoising: An Image Processing Pipeline for a Pixel-bin Image Sensor

https://github.com/sjmoran/CURL

공식 코드

CURL: Neural Curve Layers for Global Image Enhancement

https://github.com/tehret/mosaic-to-mosaic

공식 코드

Joint Demosaicking and Denoising by Fine-Tuning of Bursts of Raw Images

https://github.com/tub-rip/event_based_image_rec_inverse_problem

공식 코드

Formulating Event-based Image Reconstruction as a Linear Inverse Problem with Deep Regularization using Optical Flow

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