Santhosh P. Mathew

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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(More)
Content Based Image Retrieval (CBIR) is used to effectively retrieve required images from fairly large databases. CBIR extracts images that are relevant to the given query image, based on the features extracted from the contents of the image. Most of the CBIR systems available in the literature are not rotation and scale invariant. Retrieval efficiency is(More)
With recent improvements in methods for the acquisition and rendering of shapes, the need for retrieval of shapes from large repositories of shapes has gained prominence. A variety of methods have been proposed that enable the efficient querying of shape repositories for a desired shape or image. Many of these methods use a sample shape as a query and(More)
Developments in data storage technologies and image acquisition methods have led to the assemblage of large data banks. Management of these large chunks of data in an efficient manner is a challenge. Content-based Image Retrieval (CBIR) has emerged as a solution to tackle this problem. CBIR extracts images that match the query image from large image(More)
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 wellcharacterized representative line(More)
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(More)
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 wellcharacterized representative line(More)
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(More)
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(More)
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