Fast and efficient method for block edge classification
Proceedings of the 2006 international conference on Wireless communications and mobile computing
Transformed-Domain Mode Selection for H.264 Intra-Prediction Improvement
IEICE - Transactions on Information and Systems
Fuzzy intensification operator based contrast enhancement in the compressed domain
Applied Soft Computing
DCT-Domain image retrieval via block-edge-patterns
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part I
The single-pass perceptual embedded zero-tree coding implementation on DSP
Computers & Mathematics with Applications
A scale-rate filter selection method in the spectro-temporal domain for phoneme classification
Computers and Electrical Engineering
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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. 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.