1 August 2004 Modification of standard image compression methods for correlation-based pattern recognition
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Optical Engineering, 43(8), (2004). doi:10.1117/1.1765664
Abstract
Standard image compression algorithms may not perform well in compressing images for pattern recognition applications, since they aim at retaining image fidelity in terms of perceptual quality rather than preserving spectrally significant information for pattern recognition. New compression algorithms for pattern recognition are therefore investigated, which are based on the modification of the standard compression algorithms to simultaneously achieve higher compression ratio and improved pattern recognition performance. This is done by emphasizing middle and high frequencies and discarding low frequencies according to a new distortion measure for compression. The operations of denoising, edge enhancement, and compression can be integrated in the same encoding process in the proposed compression algorithms. Simulation results show the effectiveness of the proposed compression algorithms.
Mo Chen, Shuqun Zhang, Mohammad A. Karim, "Modification of standard image compression methods for correlation-based pattern recognition," Optical Engineering 43(8), (1 August 2004). http://dx.doi.org/10.1117/1.1765664
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KEYWORDS
Image compression

Pattern recognition

Detection and tracking algorithms

Quantization

Image quality

Wavelets

Image processing

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