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A compressed domain scheme for classifying block edge patterns
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DOI：10.1109/TIP.2004.840706.png)
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摘要
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Detecting and classifying edge components in images find a wide range of applications from perceptually improved coding schemes to content-based searches. In this paper, a fast and systematic scheme is proposed to classify the edge orientation of each block in discrete cosine transform (DCT)-compressed images. Derived from a simple, but acceptable, pixel-domain algorithm, the proposed scheme performs directly on DCT coefficient domain and, thus, saves the arithmetic operations by a considerable amount. The performance of the proposed method is validated by the experiments against various natural images.
Keyword:
block edge classification
discrete cosine transform (DCT)
fast algorithm
feature extraction
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期刊
IF:
13.7
论文数:
1.0W
被引数:
8.4W
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