Image Retrieval Algorithm Based on Quantized DCT Coefficients

Arvind Sharma, Nishchol Mishra, P. Sharma
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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.
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基于量化DCT系数的图像检索算法
在图像检索技术中,目标是基于DCT颜色系数检索图像。过去提出了许多基于单一特征的算法。这些算法缺乏速度,需要更多的计算能力。该算法利用离散余波变换(DCT),提取出最相似的图像。DCT的思想是利用YCbCr颜色模型对图像的颜色分量进行解耦,并将这些颜色分量转化为DCT系数,再将每个DCT系数用恒定的量化矩阵进行简单除法,减少比特数并将其四舍五入到最接近的数字中,计算出该图像的特征,进行相似性度量。
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