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Beyond joint demosaicking and denoising: An image processing pipeline for a pixel-bin image sensor
Pixel binning is considered one of the most prominent solutions to tackle the hardware
limitation of smartphone cameras. Despite numerous advantages, such an image sensor …
limitation of smartphone cameras. Despite numerous advantages, such an image sensor …
Shadow detection and reconstruction in high-resolution satellite images via morphological filtering and example-based learning
The shadows in high-resolution satellite images are usually caused by the constraints of
imaging conditions and the existence of high-rise objects, and this is particularly so in urban …
imaging conditions and the existence of high-rise objects, and this is particularly so in urban …
[PDF][PDF] Deep learning as an alternative to super-resolution imaging in UAV systems
Other keywords: deep learning; structural similarity; UAV systems; super-resolution
unmanned aerial vehicle imaging; low-resolution images; LR image; quantit ative analysis; …
unmanned aerial vehicle imaging; low-resolution images; LR image; quantit ative analysis; …
Sagan: Adversarial spatial-asymmetric attention for noisy nona-bayer reconstruction
Nona-Bayer colour filter array (CFA) pattern is considered one of the most viable alternatives
to traditional Bayer patterns. Despite the substantial advantages, such non-Bayer CFA …
to traditional Bayer patterns. Despite the substantial advantages, such non-Bayer CFA …
Classification of defects with ensemble methods in the automated visual inspection of sewer pipes
Side scanning evaluation technology (SSET) is a visual inspection technique for sewer
pipelines. It provides both frontal and 360 degree images of the interior surface of the pipe …
pipelines. It provides both frontal and 360 degree images of the interior surface of the pipe …
A new framework for remote sensing image super-resolution: sparse representation-based method by processing dictionaries with multi-type features
Remote sensing images play an important role in many practical applications, however, due
to the physical limitations of remote sensing devices, it is difficult to obtain images at an …
to the physical limitations of remote sensing devices, it is difficult to obtain images at an …
A multifocus image fusion method by using hidden Markov model
An image with all objects in focus is desired for human visual perception and computer
vision tasks. The multifocus image fusion technique is a solution to fuse images acquired …
vision tasks. The multifocus image fusion technique is a solution to fuse images acquired …
Consumer camera demosaicking and denoising with a collaborative attention fusion network
N Yuan, J Li, B Sun - IEEE Transactions on Consumer …, 2023 - ieeexplore.ieee.org
For the consumer cameras with Bayer filter array, raw color filter array (CFA) data collected
in real-world is sampled with signal-dependent noise. Various joint denoising and …
in real-world is sampled with signal-dependent noise. Various joint denoising and …
A multi-frame super-resolution method based on the variable-exponent nonlinear diffusion regularizer
In this work, the authors have proposed a multi-frame super-resolution method that is based
on the diffusion-driven regularization functional. The new regularizer contains a variable …
on the diffusion-driven regularization functional. The new regularizer contains a variable …
A performance comparison among different super-resolution techniques
Improving image resolution by refining hardware is usually expensive and/or time
consuming. A critical challenge is to optimally balance the trade-off among image resolution …
consuming. A critical challenge is to optimally balance the trade-off among image resolution …