Abstract: This study presents a novel image-naturalness restoration for the purpose of achieving better image quality with respect to the human visual system. Specifically, the authors suppress the artefacts around edges using image gradient components. They also appropriately enhance the image brightness using an adaptive gamma correction. In particular, they simply create a mapping curve to a...

It is a challenging task to develop an effective and robust object tracking method due to factors such as severe occlusion, background clutters, abrupt motion, illumination variation and so on. In this paper, a novel tracking algorithm based on weighted subspace reconstruction error is proposed. The discriminative weights are defined through minimizing reconstruction error with positive diction...

The recently proposed Facial Trait Code (FTC) formulates the component-based face recognition problem as a coding problem using Error-Correcting Code. The development of FTC is based on the extraction of local feature patterns from a large set of faces without significant variations in expression and illumination. This paper reports a new type of FTC that encompasses the faces with large expres...

In order to solve the image blurring and distortion problem caused by underwater non-uniform low illumination, this paper proposes an enhancement algorithm based on Retinex theory Alternating Direction Method of Multipliers (ADMM). Firstly, L component original in Lab space is extracted as initial illumination map, Augmented Lagrange Multiplier (ALM) framework constructed ADMM optimize map obta...

The problem of separating the illumination from the re ectance information in a given image has been extensively researched in the last three decades, following Edwin Land's seminal work on color vision and his development of the Retinex theory [4]. The problem can be described as follows given an input image S, we would like to decompose it into two di erent images the re ectance image R and t...

Here we present a general alignment algorithm for an edge illumination x-ray phase contrast imaging system, which is used with the laboratory systems developed at UCL. It has the flexibility to be used with all current mask designs, and could also be applied to future synchrotron based systems. The algorithm has proved to be robust experimentally, and can be used for the automatization of futur...

This paper evaluates the operation of self-correcting active pixel sensors presented in [6] using Signal-to-Noise Ratio. The evaluation is based on a simplified Active Pixel Sensing (APS) model. We show that in the absence of stuck faults (i.e., no errors) the performance of the system suffers from considerable degradation especially at low illumination (i.e., typical indoor scenes). We use the...

We propose the face recognition system using image fusion for illumination invariant robust face recognition. The proposed method is useful when less number of samples or images available in the training dataset. In our system complexity of PCA algorithm is also reduced as we are using very few (only one) fused images to train instead of more (four) images in the training dataset. Hence process...

Is proposed a method for the automatic detection of dark fibres in wool tops based on image processing. A software which implements this method was developed, composed by five modules: KL projection, light correction, Gabor filtering, segmentation and morphology. The digital image are taken by a camera placed in a balanced illumination system. The method was calibrated and tested on 170 images ...