In this paper, we address the problem of object recognition in degraded environments
including fog and partial occlusion. Both long wave infrared (LWIR) imaging systems and …

Image restoration and denoising has been a challenging problem in optics and computer
vision. There has been active research in the optics and imaging communities to develop a …

Integral imaging (InIm) is useful for passive ranging and 3D visualization of partially-
occluded objects. We consider 3D object localization within a scene and in occlusions. 2D …

This study proposes a 3D attitude estimation algorithm using the RMPE algorithm coupled
with a deep neural network that combines human pose estimation and action recognition …

This paper introduces an enhancement technique for three-dimensional computational
integral imaging by utilizing a post-processing method. Despite the advantages of …

The two-point-source resolution criterion is widely used to quantify the performance of
imaging systems. The two main approaches for the computation of the two-point-source …

Low light image enhancement with adaptive brightness, color and contrast preservation in
degraded visual conditions (eg, extreme dark background, lowlight, back-light, mist. etc.) is …

Integral imaging has proven useful for three-dimensional (3D) object visualization in
adverse environmental conditions such as partial occlusion and low light. This paper …

Image restoration aims to recover a clean image given a noisy image. It has long been a
topic of interest for researchers in imaging, optical science and computer vision. As the …

Infrared and visible image fusion (IVIF) aims to synthesize images that capitalize on the
strengths of both modalities. Addressing the common challenge in IVIF of preserving thermal …