Seven ways to improve example-based single image super resolution
In this paper we present seven techniques that everybody should know to improve example-
based single image super resolution (SR): 1) augmentation of data, 2) use of large …
based single image super resolution (SR): 1) augmentation of data, 2) use of large …
Adaptive residual interpolation for color and multispectral image demosaicking
Color image demosaicking for the Bayer color filter array is an essential image processing
operation for acquiring high-quality color images. Recently, residual interpolation (RI)-based …
operation for acquiring high-quality color images. Recently, residual interpolation (RI)-based …
Demosaicing based on directional difference regression and efficient regression priors
Color demosaicing is a key image processing step aiming to reconstruct the missing pixels
from a recorded raw image. On the one hand, numerous interpolation methods focusing on …
from a recorded raw image. On the one hand, numerous interpolation methods focusing on …
An iterative framework of cascaded deblocking and superresolution for compressed images
Superresolution (SR) of compressed images is chall-enging due to the combination of
resolution loss and compression artifacts. To solve these intertwined problems, the …
resolution loss and compression artifacts. To solve these intertwined problems, the …
A Bayer pattern-based fragile watermarking scheme for color image tamper detection and restoration
W Belferdi, A Behloul, L Noui - Multidimensional Systems and Signal …, 2019 - Springer
The security of multimedia documents becomes an urgent need, especially with the
increasing image falsifications provided by the easy access and use of image manipulation …
increasing image falsifications provided by the easy access and use of image manipulation …
Efficient regression priors for reducing image compression artifacts
Lossy image compression allows for large storage savings but at the cost of reduced fidelity
of the compressed images. There is a fair amount of literature aiming at restoration by …
of the compressed images. There is a fair amount of literature aiming at restoration by …
Optimization assisted autoregressive technique with deep convolution neural network-based entropy filter for image demosaicing
C Anitha Mary, A Boyed Wesley - The Imaging Science Journal, 2024 - Taylor & Francis
This paper presents an image demosaicing based on an optimization-driven deep learning
model, namely the Autoregressive Water Wave Optimization algorithm (Autoregressive …
model, namely the Autoregressive Water Wave Optimization algorithm (Autoregressive …
[PDF][PDF] A mathematical analysis and implementation of residual interpolation demosaicking algorithms
Demosaicking is the process of reconstructing the full color image from its mosaic version on
a Bayer pattern. It is an integral part of the image processing pipeline for single sensor …
a Bayer pattern. It is an integral part of the image processing pipeline for single sensor …
[HTML][HTML] Color image demosaicing using sparse based radial basis function network
VNVS Prakash, KS Prasad, TJC Prasad - Alexandria Engineering Journal, 2017 - Elsevier
Images contain three primary colors at each pixel, but single sensor digital cameras capture
only one of the primary channels. Process of color image reconstruction by finding the …
only one of the primary channels. Process of color image reconstruction by finding the …
[PDF][PDF] A deep understanding from a single image
R Rothe - 2016 - research-collection.ethz.ch
As the number of photos being taken increases exponentially, there is also an exponentially
increasing need for technologies for automatic image analysis. The applications include …
increasing need for technologies for automatic image analysis. The applications include …