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A compressed domain scheme for classifying block edge patterns

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2 Author(s)
Hyun Sung Chang ; Digital Broadcasting Res. Div., Electron. & Telecommun. Res. Inst., Daejeon, South Korea ; Kyeongok Kang

Detecting and classifying edge components in images find a wide range of applications from perceptually improved coding schemes to content-based searches. 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.

Published in:

Image Processing, IEEE Transactions on  (Volume:14 ,  Issue: 2 )