Advances and challenges in super‐resolution

S Farsiu, D Robinson, M Elad… - International Journal of …, 2004 - Wiley Online Library
Super‐Resolution reconstruction produces one or a set of high‐resolution images from a
sequence of low‐resolution frames. This article reviews a variety of Super‐Resolution …

Color image demosaicking: An overview

D Menon, G Calvagno - Signal Processing: Image Communication, 2011 - Elsevier
Demosaicking is the process of reconstructing a full-resolution color image from the sampled
data acquired by a digital camera that apply a color filter array to a single sensor. This paper …

[BUKU][B] Computer vision: algorithms and applications

R Szeliski - 2022 - books.google.com
Humans perceive the three-dimensional structure of the world with apparent ease. However,
despite all of the recent advances in computer vision research, the dream of having a …

New edge-directed interpolation

X Li, MT Orchard - IEEE transactions on image processing, 2001 - ieeexplore.ieee.org
This paper proposes an edge-directed interpolation algorithm for natural images. The basic
idea is to first estimate local covariance coefficients from a low-resolution image and then …

Sparse representation for color image restoration

J Mairal, M Elad, G Sapiro - IEEE Transactions on image …, 2007 - ieeexplore.ieee.org
Sparse representations of signals have drawn considerable interest in recent years. The
assumption that natural signals, such as images, admit a sparse decomposition over a …

Color demosaicking by local directional interpolation and nonlocal adaptive thresholding

L Zhang, X Wu, A Buades, X Li - Journal of Electronic imaging, 2011 - spiedigitallibrary.org
Single sensor digital color cameras capture only one of the three primary colors at each
pixel and a process called color demosaicking (CDM) is used to reconstruct the full color …

Sparse modeling for image and vision processing

J Mairal, F Bach, J Ponce - Foundations and Trends® in …, 2014 - nowpublishers.com
In recent years, a large amount of multi-disciplinary research has been conducted on sparse
models and their applications. In statistics and machine learning, the sparsity principle is …

Lensfree microscopy on a cellphone

D Tseng, O Mudanyali, C Oztoprak, SO Isikman… - Lab on a Chip, 2010 - pubs.rsc.org
We demonstrate lensfree digital microscopy on a cellphone. This compact and light-weight
holographic microscope installed on a cellphone does not utilize any lenses, lasers or other …

High-quality linear interpolation for demosaicing of Bayer-patterned color images

HS Malvar, L He, R Cutler - 2004 IEEE International …, 2004 - ieeexplore.ieee.org
This paper introduces a new interpolation technique for demosaicing of color images
produced by single-CCD digital cameras. We show that the proposed simple linear filter can …

[BUKU][B] Design for embedded image processing on FPGAs

DG Bailey - 2023 - books.google.com
Design for Embedded Image Processing on FPGAs Bridge the gap between software and
hardware with this foundational design reference Field-programmable gate arrays (FPGAs) …