Beyond joint demosaicking and denoising: An image processing pipeline for a pixel-bin image sensor

SM A Sharif, RA Naqvi… - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
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 …

Shadow detection and reconstruction in high-resolution satellite images via morphological filtering and example-based learning

H Song, B Huang, K Zhang - IEEE Transactions on Geoscience …, 2013 - ieeexplore.ieee.org
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 …

[PDF][PDF] Deep learning as an alternative to super-resolution imaging in UAV systems

A Deshpande, P Patavardhan, VV Estrela… - Imaging and sensing …, 2020 - researchgate.net
Other keywords: deep learning; structural similarity; UAV systems; super-resolution
unmanned aerial vehicle imaging; low-resolution images; LR image; quantit ative analysis; …

Sagan: Adversarial spatial-asymmetric attention for noisy nona-bayer reconstruction

SMA Sharif, RA Naqvi, M Biswas - arxiv preprint arxiv:2110.08619, 2021 - arxiv.org
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 …

Classification of defects with ensemble methods in the automated visual inspection of sewer pipes

W Wu, Z Liu, Y He - Pattern Analysis and Applications, 2015 - Springer
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 …

A new framework for remote sensing image super-resolution: sparse representation-based method by processing dictionaries with multi-type features

W Wu, X Yang, K Liu, Y Liu, B Yan - Journal of Systems Architecture, 2016 - Elsevier
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 …

A multifocus image fusion method by using hidden Markov model

W Wu, X Yang, Y Pang, J Peng, G Jeon - Optics Communications, 2013 - Elsevier
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 …

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 …

A multi-frame super-resolution method based on the variable-exponent nonlinear diffusion regularizer

BJ Maiseli, OA Elisha, H Gao - EURASIP Journal on Image and Video …, 2015 - Springer
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 …

A performance comparison among different super-resolution techniques

D Thapa, K Raahemifar, WR Bobier… - Computers & Electrical …, 2016 - Elsevier
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 …