Does extending the number of channels from the 3 RGB sensors of a colour camera to 6 or 9 using a multispectral camera enhance the performance of illumination-estimation algorithms? Experiments are conducted with a variety of colour constancy algorithms (Maloney-Wandell, Chromagenic, Greyworld, Max RGB, and a Maloney-Wandell extension) measuring their performance as a function of the number of ...

In this paper, we propose a method of classification of image by combining wavelet transform and neural network. Our main objective in this work is to achieve an optimal approach of classification by combining wavelet transform and neural network. The proposed scheme for successful classification is combination of a wavelet domain feature extractor and back propagation neural networks (BPNN) cl...

The goal of our work is to complete the depth channel of an RGB-D image. Commodity-grade depth cameras often fail to sense depth for shiny, bright, transparent, and distant surfaces. To address this problem, we train a deep network that takes an RGB image as input and predicts dense surface normals and occlusion boundaries. Those predictions are then combined with raw depth observations provide...

In this paper, we propose a correlated and individual multi-modal deep learning (CIMDL) method for RGB-D object recognition. Unlike most conventional RGB-D object recognition methods which extract features from the RGB and depth channels individually, our CIMDL jointly learns feature representations from raw RGB-D data with a pair of deep neural networks, so that the sharable and modalspecific ...

Color quantization is often used to convert 24-bit RGB images to 8-bit palette-table images. However, in some cases, the imposed 8 bits per pixel may be too stringent to adequately represent the image. For other images, 8 bits per pixel are unnecessarily generous. For image storage and transmission, it is important to compress an image as much as possible without exceeding an allowable level of...

Face recognition from RGB-D images utilizes 2 complementary types of image data, i.e. colour and depth images, to achieve more accurate recognition. In this paper, we propose a face recognition system based on deep learning, which can be used to verify and identify a subject from the colour and depth face images captured with a consumer-level RGB-D camera. To recognize faces with colour and dep...

W e cal l RGB cube the three dimensional representation of the colors of a digital image in RGB space. This cube simply shows the (R,G,B) color points which actually appear in the digital image. This visualization has, however, two main defects: it does not show the real RGB histogram. The difference is that in the color cube each point is plotted with its own color, while in the RGB histogram ...

Automated road lane detection is the crucial part of vision-based driver assistance system of intelligent vehicles. This driver assistance system reduces the road accidents, enhances safety and improves the traffic conditions. In this paper, we present an algorithm for detecting marks of road lane and road boundary with a view to the smart navigation of intelligent vehicles. Initially, it conve...

Tone mapping algorithms are used in image processing that reduces the range of high dynamic range (HDR) image to be displayed on low dynamic range (LDR) devices. The retinex method is one of the tone mapping algorithms to provide dynamic range compression, color constancy, and color rendition. It has been developed from single scale methods to multi-scale methods. Retinex algorithms still have ...

Alzheimer's disease is characterized by impaired glucose metabolism and demonstration of amyloid plaques. Individual positron emission tomography tracers may reveal specific signs of pathology that is not readily apparent on inspection of another one. Combination of multitracer positron emission tomography imaging  yields promising results. In this paper, 57 Alzheimer's disease neuroimaging ini...