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An Introduction of Wavelet Transform and how it helps in Extracting an Image from Image Database


Prof. Mamta Meena , Atharva College of Engineering, Mumbai University,Mumbai, India; Dr. Vinayak A. Bharadi, Atharva College of Engineering, Mumbai University,Mumbai, India


CBIR, DCT, Walsh, Kekre, Haar & hybrid Wavelet


Images are widely used and measure as a prime factor of communication, commercial as well as official transactions on an effective scale. The problem involves entering an image as a query into a database that is designed to employ CBIR techniques in extracting visual properties, and matching them. Hence the need of efficient and effective tools for retrieval of query images from database is increased significantly. CBIR is a technique for retrieving images on the basis of automatically-derived features such as color, texture and shape. Feature extraction used is a technique to extract feature vectors of an image based on color, shape, texture etc. which is generally known as image data. In this paper, a highly scalable, pluggable and faster CBIR system is proposed, which is capable of operating on enormous amounts of image, which, in turn, induces the need for sufficient storage capacity and significant processing power.

Other Details

Paper ID: NCTAAP089
Published in: Conference 4 : NCTAA 2016
Publication Date: 29/01/2016
Page(s): 374-377

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