Comparison of Demosaicking Methods for Color Information Extraction

Most digital color cameras are based on a single CCD or CMOS sensor combined with a color filter array (CFA): each pixel measures only one of the RGB colors. The most popular CFA is the Bayer CFA (Bayer, 1976) shown in fig. 1. Demosaicking algorithms interpolat

Super resolution and dynamic range enhancement of image sequences

Camera producers try to increase the spatial resolution of a camera by reducing size of sites on sensor array. However, shot noise causes the signal to noise ratio drop as sensor sites get smaller. This fact motivates resolution enhancement to be performed through software. Super resolution (SR) image reconstruction aims to combine degraded images of a scene in order to form an image which has higher resolution than all observations. There is a demand for high resolution images in biomedical imaging, surveillance, aerial/satellite imaging and high-definition TV (HDTV) technology. Although extensive research has been conducted in SR, attention has not been given to increase the resolution of images under illumination changes. In this study, a unique framework is proposed to increase the spatial resolution and dynamic range of a video sequence using Bayesian and Projection onto Convex Sets (POCS) methods. Incorporating camera response function estimation into image reconstruction allows dynamic range enhancement along with spatial resolution improvement. Photometrically varying input images complicate process of projecting observations onto common grid by violating brightness constancy. A contrast invariant feature transform is proposed in this thesis to register input images with high illumination variation. Proposed algorithm increases the repeatability rate of detected features among frames of a video. Repeatability rate is increased by computing the autocorrelation matrix using the gradients of contrast stretched input images. Presented contrast invariant feature detection improves repeatability rate of Harris corner detector around %25 on average. Joint multi-frame demosaicking and resolution enhancement is also investigated in this thesis. Color constancy constraint set is devised and incorporated into POCS framework for increasing resolution of color-filter array sampled images. Proposed method provides fewer demosaicking artifacts compared to existing POCS method and a higher visual quality in final image

A low-complexity joint color demosaicking and zooming algorithm for digital camera

Centre for Signal Processing, Department of Electronic and Information Engineering2007-2008 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe

Low-complexity color demosaicing algorithm based on integrated gradients

2009-2010 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe