A compressed domain scheme for classifying block edge patterns.

Hyun Sung Chang; Kyeongok Kang

doi:10.1109/tip.2004.840706

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A compressed domain scheme for classifying block edge patterns.

Hyun Sung Chang·Kyeongok Kang

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Abstract

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.

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Algorithms Cluster Analysis Data Compression Feasibility Studies Image Enhancement Image Interpretation, Computer-Assisted Numerical Analysis, Computer-Assisted Pattern Recognition, Automated Reproducibility of Results Sensitivity and Specificity Signal Processing, Computer-Assisted Subtraction Technique Comparative Study Evaluation Study Journal Article Research Support, Non-U.S. Gov't Validation Study

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Hyun Sung Chang, Kyeongok Kang. 2005. A compressed domain scheme for classifying block edge patterns.. https://doi.org/10.1109/tip.2004.840706

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