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Being an indicator of economic growth, the deployment of an Intelligent Transportation System (ITS) became an imperative necessity of a country, whether developed or developing. Emergence of innovative technologies in the areas of Computer Science, ICT and Digital Image Processing paved way to the implementation and the deployment of such a system in a cost effective and economic manner. Introduction...
Medical imaging has become an important tool not only in documenting patient presentation and clinical findings, but also understanding and managing various diseases. Image data provides tangible visual evidence of disease manifestation. The number of digital images that needs to be acquired, analyzed, classified, stored and retrieved in the medical centers is exponentially growing with the advances...
Medical images form an essential source of information for various important tasks such as diagnosis of diseases, surgical planning, medical reference, research and training. A content-based medical image retrieval system has been proposed in this paper which indexes and retrieves images from a digital oral pathology image database. The visual features of the images are extracted based on color content...
The paper proposes an enhanced morphological contour/edge representation algorithm for the representation of 2D binary shapes of digital images. The concise representation algorithm uses representative lines of different sizes and types to cover all the significant features of the binary contour/edge image. These well-characterized representative line segments, which may overlap among different types,...
The paper proposes an efficient quad-tree based filtering algorithm for the restoration of impulse corrupted digital images. The quad-tree decomposition stage facilitates pixel classification in the impulse detection phase and minimizes miss-classification of signals as impulses by clearly distinguishing the high frequency image details from impulse corrupted pixels. The adaptive restoration phase...
The paper puts forward a new filtering algorithm for the restoration of digital images corrupted by impulse noise. The proposed filter includes a Hard-C means clustering stage in the impulse detection phase to facilitate pixel classification and an adaptive impulse filtering scheme in the restoration phase. The impulse detection phase avoids mis-classification of signals as impulses by identifying...
The paper proposes a 2D impulse filtering algorithm for the restoration of salt & pepper impulse corrupted digital images. The algorithm incorporates a hard-C means clustering stage to facilitate pixel classification in the impulse detection phase and an efficient adaptive filtering scheme in the restoration phase. The impulse detection scheme of the algorithm avoids mis-classification of signals...
Locating the car license plate in an image a car is an important step in car license plate recognition/identification applications. This problem poses many challenges like location of license plate from images taken in poor illumination and bad weather condition; plates that are partly obscured by dirt and images that have low contrast. This paper presents a morphology based method for license plate...
The main objective of this paper is to explore H.264/AVC operating in intraframe mode to compress a mixed image, i.e., composed of text, graphics, and pictures. Even though mixed contents (compound) documents usually require the use of multiple compressors, we apply a single compressor for both text and pictures. For that, distortion is taken into account differently between text and picture regions...
The paper proposes a 2D impulse filtering algorithm for the restoration of impulse corrupted digital images. The algorithm incorporates a quad-tree decomposition stage to facilitate pixel classification in the impulse detection phase and an efficient adaptive filtering scheme in the restoration phase. The impulse detection scheme of the algorithm avoids mis-classification of signals as impulses by...
The paper proposes a new adaptive 2D spatial filter operator for the restoration of salt & pepper impulse corrupted digital images. The proposed adaptive impulse filter effectively identifies the impulsive positions with a valid impulse noise detector and replaces them by a reliable signal determined from an appropriate neighborhood. Experimental results in terms of objective metrics and visual...
The paper proposes a new morphological reversible contour/edge representation algorithm for the representation of 2D binary shapes of digital images. The concise representation algorithm uses representative lines of different sizes and types to cover all the significant features of the binary contour/edge image. These well-characterized representative line segments, which may overlap among different...
A single sensor equipped with a color filter array (CFA) is used in many digital still cameras to capture any of the three primary color components, R(red), G(green) or B(blue) on each pixel location, in order to reduce the hardware cost. This single band is used to generate the true RGB image. Demosicing is the process of interpolating the missed colors, which aims to reconstruct the missing colors...
This paper presents a comprehensive study of the pixel-based skin color detection techniques. Two main issues of the skin detection are the selection of the best color space and skin color pixel classification algorithm. A large set of XM2VTS face database is used to examine whether the selection of color space can enhance the compactness of the skin class and discriminability between skin and non-skin...
Widely used digital cameras nowadays use single sensor color filter array (CFA) which captures only one component of a pixel among the three components red, green and blue (RGB). This interleaved RGB valued images are called mosaic images. The mosaic images are of one third of the RGB image's size. The mosaic image can be compressed further to reduce storage. In this paper we propose a new efficient...
This project presents an approach to index and retrieve images using a compact color descriptor in two color spaces namely HSV,and CIE L*u*v*. A compact color descriptor adopted in the proposed content-based image retrieval system is 127-bit binary Haar color histogram, which is used as an index of the images in the database. The color histogram is obtained for an image using a suitable color space...
The paper proposes a new adaptive 2D spatial filter operator for the restoration of salt & pepper impulse corrupted digital images. The Adaptive Impulse Filter effectively identifies the impulsive positions of the noisy digital image and switches to restore them by an adaptive impulse correction scheme. Experimental results in terms of objective metrics and visual analysis through varied impulse...
An improved and efficient adaptive median filter is proposed for salt & pepper impulse noise removal from digital images. The more perfect and computationally efficient filtering scheme takes care to restore only the impulse corrupted pixels by a perfect mid-ranking image statistic from an appropriate local neighborhood while keeping the signal content of the uncorrupted pixels as such. The corrupted...
The industry standard joint photographers expert group (JPEG) compression can lead to noticeable 'blocking artifacts' in many cases. High frequency details of the coded images are mainly contaminated by quantization noise. The deblocking approach of JPEG compressed images using overcomplete wavelet representation can be improved by preserving the image details and reducing the effect of quantization...
The paper presents an improved median filter for salt & pepper impulse noise removal. This computationally efficient filtering technique is implemented as a two pass algorithm: in the first pass, identification of corrupted pixels that are to be filtered are perfectly detected into a flag image using an iterative fixed sized smaller window approach; in the second pass, using the detected flag...
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