Single-pixel imaging (SPI) utilizes a second-order correlation of structured illumination light field and single-pixel detector to form images. As the provides no spatial resolution, generated by devices such as modulator substitutes role array camera retrieve pixel-wise information. Due its unique modality, SPI has certain advantages. Meanwhile, counterintuitive configuration reciprocity relat...

Digital image forensics aims to detect images that have been digitally manipulated. Realistic forgeries involve a combination of splicing, resampling, region removal, smoothing and other manipulation methods. While most detection methods in literature focus on detecting particular type manipulation, it is challenging identify doctored host manipulations. In this paper, we propose novel approach...

The paper proposes a new algorithm for detection and filtering of impulse noise from gray-scale images. The detection scheme consists of two stages. In the first stage, it is tested whether the centre pixel in the window of the image is healthy or not by incorporating the condition of the rank-conditioned median filter. The centre pixel may be an impulse if it lies outside the trimming range. T...

Most of the already proposed skin detection approaches are based on the same pixel-wise paradigm, in which each image pixel is individually analyzed. We think that this paradigm should be extended; context information should be incorporated in the skin detection process. Following this idea, in this article is proposed a robust and fast skin detection approach that uses spatial and temporal con...

In this paper, a hardware system for Sobel Edge Detection Algorithm is designed and simulated for a 128 pixel, 8-bit monochrome line-scan camera. The system is designed to detect objects as they move along a conveyor belt in a manufacturing environment, the camera will observe dark objects on a light conveyor belt. The edge detector is required to detect horizontal and vertical edges using Sobe...

A novel algorithm that combines sparse and collaborative representation is proposed for target detection in hyperspectral imagery. Target detection is achieved by the representation of a testing pixel using a target library and a background library. Due to the fact that sparse representation encourages competition among atoms while collaborative representation tends to use all the atoms, the te...