Multiple imaging modalities can be combined to provide more information about the real
world than a single modality alone. Infrared images discriminate targets with respect to their …

Multi-exposure image fusion (MEF) is emerging as a research hotspot in the fields of image
processing and computer vision, which can integrate images with multiple exposure levels …

Multi-focus image fusion combines the focused parts of multiple images of the same scene
to generate a fully focused image. Dual Channel Pulse coupled neural network (DCPCNN) …

In this paper, an unsupervised learning-based approach is presented for fusing bracketed
exposures into high-quality images that avoids the need for interim conversion to …

Background Iraq is among the countries affected by the COVID-19 pandemic. As of 2 August
2020, 129,151 COVID-19 cases were confirmed, including 91,949 recovered cases and …

Since the widespread availability of cameras black-and-white (BW) photography has been a
popular choice for artistic and aesthetic expression. It highlights the main subject in varying …

Image restoration (IR) is a long-standing challenging problem in low-level image
processing. It is of utmost importance to learn good image priors for pursuing visually …

Evaluating the visual quality of decolorized images is challenging, as existing metrics such
as CCPR and E-score depend on parameters that may vary across different methods. In this …

High dynamic range (HDR) imaging enables to immortalize natural scenes similar to the
way that they are perceived by human observers. With regular low dynamic range (LDR) …

High dynamic range imaging (HDRI) is a challenging technology but yet demanding for
modern imaging applications. Low-cost image sensors have limited dynamic range, and it is …