Abstract: The image quality depends on level of intensities used in images. Image is consists of various types of objects. Objects in the images are distinguishable because of various intensity levels used. The concentration of intensity levels so called energy can be extracted from image using discrete cosine transform (DCT). In this paper we apply DCT 8x8 block coefficients separately on three different color planes of three different color models namely RGB, HSV and YCbCr. The different elements of ten DCT coefficient matrices are used to form feature vectors. The different feature vectors are formed using these ten elements. These feature vectors are used to index all images in the database. The system was tested with Coral Image database containing 1000 natural images having 10 different classes of images. The image retrieval using these indices is giving comparatively better results.

Satishkumar L Varma and Sanjay N. Talbar, “SUCCESeR: Simple and Useful Multi Color Concepts for Effective Search and Retrieval” International Journal of Advanced Computer Science and Applications(IJACSA), Special Issue on Image Processing and Analysis, 2011. http://dx.doi.org/10.14569/SpecialIssue.2011.010114

@article{Varma2011,
title = {SUCCESeR: Simple and Useful Multi Color Concepts for Effective Search and Retrieval},
journal = {International Journal of Advanced Computer Science and Applications(IJACSA), Special Issue on Image Processing and Analysis}
doi = {10.14569/SpecialIssue.2011.010114},
url = {http://dx.doi.org/10.14569/SpecialIssue.2011.010114},
year = {2011},
publisher = {The Science and Information Organization},
volume = {1},
number = {1},
author = {Satishkumar L Varma and Sanjay N. Talbar},
}