A simulation experiment was carried out to analyse the e€ ects of the modulation transfer function on our ability to estimate the proportions of land cover within a pixel by linear mixture modelling. In the simulated landscape the proportionof each land cover type in every pixel was known exactly. The standard error of the estimate (SEE) between percentages derived from mixture modelling and th...

Non-Maximum Suppression (NMS) is the task of finding all local maxima in an image. This is often solved using gray-scale image dilation, which requires at least 6 comparisons per pixel in 2-D. We present two solutions that use fewer than 2 comparisons per pixel with little memory overhead. The first algorithm locates 1-D peaks along the image’s scan-line and compares each of these peaks against...

Image-based rendering techniques are a powerful alternative to traditional polygon-based computer graphics. This paper presents a novel light field rendering technique which performs per-pixel depth correction of rays for high-quality reconstruction. Our technique stores combined RGB and depth values in a parabolic 2D texture for every light field sample acquired at discrete positions on a unif...

This paper proposes a data hiding method for high dynamic range images with the LogLuv encoding format. To the best of our knowledge, this is the first data hiding algorithm developed in the literature for such an HDR format. Our scheme considers both the luminance channel and two chromatic channels when we embed a secret message. This allows us to conceal up to 6 bits of secret messages in the...

Photometric Stereo can recover dense (at pixel-level) local surface orientation, but the subsequent reconstruction procedures used to obtain 3D shape of the scene are prone to low frequency geometric distortion. This geometric distortion is mainly due to assumption of collimated light source, to overcome the error due to collimated light source we propose a novel calibration process to dynamica...

Most of background subtraction methods represent background statistics using probabilistic unified frameworks such as the Gaussian mixture model or kernel density estimation. But these models cannot define the exact difference between two pixels. It causes misclassification such as false alarms and misses. We presented a new sensor noise model appropriate for general CCD cameras. Based on this,...

In this article, a new reversible data hiding method using most significant bits and center shifting technique in dual images is proposed. The proposed aims to securely hide high-capacity secret data. Instead of directly embedding the data, calculates values with (n + 1) n cover image pixel values. Thus, it impossible extract without obtaining original image. Also, process performed minimize me...

Data may be compressed by reducing the redundancy in the original data, but this makes the data have more errors. In this paper a novel approach of image compression based on a new method that has been created for image compression which is called Five Modulus Method (FMM). The new method consists of converting each pixel value in an 8×8 block into a multiple of 5 for each of the R, G and B arr...

In this paper, a new loss-less symmetric image encryption using a permutation and diffusion structure is proposed. A new key generation process generates secondary keys that act as control parameter for permutation order and diffusion bit generator. The Image pixels are scrambled in bit level. Permutation order is generated using the parametric switching type that permutes the pixel in bit wise...

Two techniques for performing pixel level analog to digital conversion (ADC) are reviewed. The first is an oversampling technique which uses a one bit first order Ez modulator for each 2 x 2 block of pixels to directly convert photocharge to bits. Each modulator is implemented using 17 transistors. The second technique is a Nyquist rate multi—channel--bit—serial (MCBS) ADC. The technique uses s...