The low-contrast images taken by digital cameras or camera phones are not always satisfactory due to the limitation of the capturing devices or improper illumination/exposure conditions. Conventional image contrast enhancement methods may either fail to produce satisfactory and undistorted images, or they cannot improve every region of interest appropriately, especially faces. In this paper, a ...

Over the years, many computed optical interferometric techniques have been developed to perform high-resolution volumetric tomography. By utilizing the phase and amplitude information provided with interferometric detection, post-acquisition corrections for defocus and optical aberrations can be performed. The introduction of the phase, though, can dramatically increase the sensitivity to motio...

Advancements in security have provided ways of recording anomalies daily life through video surveillance. For the present investigation, a semi-supervised generative adversarial network model to detect and classify different types crimes on videos. Additionally, we intend tackle one most recurring difficulties anomaly detection: illumination. this, propose light augmentation algorithm based gam...

We discovered significant error in color in images produced by a digital still camera used to capture scenes with a special setup of illumination and an object. The object is small, transparent, color-less and has light-refractive properties. Illumination is produced by a number of LEDs with known spectra. Due to light dispersion in the object, vivid monochromatic colored flares can be seen and...

The user-friendliness and cost-effectiveness have contributed to the growing popularity of mobile phone cameras. However, images captured by such mobile phone cameras are easily distorted by a wide range of factors, such as backlight, over-saturation, and low contrast. Although several approaches have been proposed to solve the backlight problems, most of them still suffer from distorted backgr...

SAR data acquired over hilly terrain show geometric and radiometric distortions due to the sidelooking configuration of the radar sensors. These effects usually lead to a distortion of the useful backscatter information related to land cover or bio-geophysical parameters. Post-processing approaches to remove such distortions are very important to broaden the application possibilities of radar r...

In this paper we illustrate the use of the Beckmann-Kirchhoff model for analysing rough surface reflectance. The Beckmann-Kirchhoff model is a physical model that describes the reflectance of light from rough surfaces. The parameter of the model is the surface slope, or ratio of the surface roughness to the correlation length. We show how this parameter may be estimated using pairs of surface i...

The problem associated with Illumination variation is one of the major problems in image processing, pattern recognition, medical image, etc; hence there is a need to handle and deal with such variations. This paper presents a novel and efficient algorithm for images illumination correction call local graph structure (LGS). LGS features are derived from a general definition of texture in a loca...

The task of detecting changes between two image frames is obstructed by the influence of noise and by the existence of ambient illumination variations between the image frames. The former is an inherent property of all electronic imaging devices. The latter appears when changes in camera exposure or white balance settings occur and tends to degrade the efficiency of change detection, if left un...

One of the major problems in Monte Carlo based methods for global illumination is noise. This paper investigates adaptive sampling as a method to alleviate the problem. We introduce a new refinement criterion, which takes human perception and limitations of display devices into account by incorporating the tone-operator. Our results indicate that this can lead to a significant reduction in the ...