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Content Based Image Retrieval generally uses the key feature of the image such as color, shape, texture to represent and index the image. Recent research in Content Based Image Retrieval is geared towards the development of mythologies for analysing, interpreting, cataloguing and indexing image database. It is also being made to evaluate the performance of image. In this paper first we are going to create database of the features of images by using Content Based Image Retrieval and then we are going to evaluate the database. Discrete Cosine Transform and Discrete Wavelet Transform algorithm are applied to the evaluated features of the input image. This gives the minimum difference, now this applied to database features and output comes in the form of re-rank image. The outputs of both the algorithm is now comparing to conclude the best

A comparative implementation of Content Based Image Retrieval techniques in Wavelet and Cosine domains