We introduce Scene Structural Matrix (SSM), a novel image content descriptor and its application to invariant image retrieval. The SSM captures the overall structural characteristics of the scene by indexing the geometric features of the image. We employ a binary image tree (bintree) to partition the image and from which we derive multiscale geometric structural descriptors of the image. We hav...

This paper describes the process of classifying color images based on color texture information. The images are originally in Red-Green-Blue (RGB) and they are changed to xyY to facilitate the image processing. Chromacity information (xy) is combined with luminance (Y) in the image. Luminance and chrominance image processing implementation is included in this paper. The process analyzes them se...

Image texture is useful in image browsing, search and retrieval. A texture descriptor based on a multiresolution decomposition using Gabor wavelets is proposed. The descriptor consists of two parts: a perceptual browsing component (PBC) and a similarity retrieval component (SRC). The extraction methods of both PBC and SRC are based on a multiresolution decomposition using Gabor wavelets. PBC pr...

In this paper we analyze the blind deconvolution of an image and an unknown blur in a coded imaging system. The measurements consist of subsampled convolution of an unknown blurring kernel with multiple random binary modulations (coded masks) of the image. To perform the deconvolution, we consider a standard lifting of the image and the blurring kernel that transforms the measurements into a se...

In this paper, classified and comparative study of edge detection algorithms are presented. Experimental results prove that Boie-Cox, ShenCastan and Canny operators are better than Laplacian of Gaussian (LOG), while LOG is better than Prewitt and Sobel in case of noisy image. Subjective and objective methods are used to evaluate the different edge operators. The morphological filter is more imp...

In order to retrieve unlabeled images by textual queries, cross-media similarity computation is a key ingredient. Although novel methods are continuously introduced, little has been done to evaluate these methods together with large-scale query log analysis. Consequently, how far have these methods brought us in answering real-user queries is unclear. Given baseline methods that use relatively ...

This paper presents a provenance-based technique to support undoing and redoing of data analysis tasks. The technique targets scientists who experiment with combinations of approaches to processing raw data into presentable datasets. Raw data may be noisy and in need of cleaning, it may suffer from sensor drift that requires retrospective calibration and data correction, or it may need gap-fill...

Today, multiresolution (MR) transforms are a widespread tool for image fusion. They decorrelate the image into several scaled and oriented sub-bands, which are usually averaged over a certain neighborhood (window) to obtain a measure of saliency. First, this paper aims to evaluate log-Gabor filters, which have been successfully applied to other image processing tasks, as an appealing candidate ...

This paper presents a novel image fusion method, suitable for sharpening of multispectral (MS) images by means of a panchromatic (Pan) observation, based on a modified generalized intensity-hue-saturation algorithm: the MS bands expanded to the finer scale of the Pan image are sharpened by adding the spatial details derived from a difference image, which is calculated by the Pan image and a lin...

Critical points were computed to determine the minimum field of view (FOV) size required for efficient navigation. Navigation performance in 20 normally sighted subjects was assessed using an immersive virtual environment. Subjects were instructed to walk through a virtual forest to a target tree as quickly as possible without hitting any obstacles (trees, boulders, and holes). The navigation t...