DocumentCode :
2770528
Title :
Image Retrieval Algorithm Based on Quantized DCT Coefficients
Author :
Sharma, Arvind ; Mishra, Nishchol ; Sharma, Pharindra
Author_Institution :
MTech(CTA), Rajiv Gandhi Tech. Univ. Bhopal, Bhopal, India
fYear :
2011
fDate :
7-9 Oct. 2011
Firstpage :
431
Lastpage :
434
Abstract :
In the image retrieval technology, the aim is to retrieve an image based on DCT color coefficients. There were many algorithms based on single feature, presented in past. Those algorithms have lack of speed and require more computational capability. In this algorithm by using DCT, most similar images are retrieved. The idea of DCT was to decouples the color component of image using YCbCr color model and transform these color components into DCT coefficients moreover reduce the number of bits simply dividing of each DCT coefficients with constant quantization matrix and round them into nearest number to calculate features of that image for performing similarity measure.
Keywords :
data compression; discrete cosine transforms; image coding; image colour analysis; image retrieval; DCT color coefficients; YCbCr color model; color component decouples; constant quantization matrix; image retrieval algorithm; quantized DCT coefficients; Discrete cosine transforms; Educational institutions; Feature extraction; Image color analysis; Image retrieval; Quantization; Discrete Cosine Transformation (DCT); Quantization matrix; Similarity measure; YCbCr color model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Communication Networks (CICN), 2011 International Conference on
Conference_Location :
Gwalior
Print_ISBN :
978-1-4577-2033-8
Type :
conf
DOI :
10.1109/CICN.2011.90
Filename :
6112903
Link To Document :
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