Demosaicking
54 papers with code • 0 benchmarks • 1 datasets
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
Benchmarks
These leaderboards are used to track progress in Demosaicking
PixelShift200
Latest papers
Event Camera Demosaicing via Swin Transformer and Pixel-focus Loss
To end this, we present a Swin-Transformer-based backbone and a pixel-focus loss function for demosaicing with missing pixel values in RAW domain processing.
Toward Accurate and Temporally Consistent Video Restoration from Raw Data
Extensive experiments demonstrate the leading VJDD performance of our method in term of restoration accuracy, perceptual quality and temporal consistency.
Toward DNN of LUTs: Learning Efficient Image Restoration with Multiple Look-Up Tables
ddlee-cn/mulut
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However, the size of a single LUT grows exponentially with the increase of its indexing capacity, which restricts its receptive field and thus the performance.
Joint Multi-Scale Tone Mapping and Denoising for HDR Image Enhancement
hulitaotom/Joint-Multi-Scale-Tone-Mapping-and-Denoising-for-HDR-Image-Enhancement
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Besides noise from the imaging sensors, almost every step in the ISP introduces or amplifies noise in different ways, and denoising operators are designed to reduce the noise from these sources.
Deep Demosaicing for Polarimetric Filter Array Cameras
Polarisation Filter Array (PFA) cameras allow the analysis of light polarisation state in a simple and cost-effective manner.
Joint demosaicing and fusion of multiresolution coded acquisitions: A unified image formation and reconstruction method
Novel optical imaging devices allow for hybrid acquisition modalities such as compressed acquisitions with locally different spatial and spectral resolutions captured by a single focal plane array.
A Differentiable Two-stage Alignment Scheme for Burst Image Reconstruction with Large Shift
guoshi28/2stagealign
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CVPR 2022
Denoising and demosaicking are two essential steps to reconstruct a clean full-color image from the raw data.
PyNET-QxQ: An Efficient PyNET Variant for QxQ Bayer Pattern Demosaicing in CMOS Image Sensors
Additionally, modern mobile cameras employ non-Bayer color filter arrays (CFA) such as Quad Bayer, Nona Bayer, and QxQ Bayer to enhance image quality, yet most existing deep learning-based ISP (or demosaicing) models focus primarily on standard Bayer CFAs.
Adaptive Cross-Layer Attention for Image Restoration
sdl-asu/acla
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Non-local attention module has been proven to be crucial for image restoration.
Two-Stage is Enough: A Concise Deep Unfolding Reconstruction Network for Flexible Video Compressive Sensing
We consider the reconstruction problem of video compressive sensing (VCS) under the deep unfolding/rolling structure.
