Abstract
This paper presents a method of compressing and reconstructing a real image using its feature map and a feature catalogue that conprises of feature templates representing the local forms of features found in a number of natural images. Unlike most context-texture based techniques that assume all feature profiles at feature points to be some form of graded steps, this method is able to restore the shading in the neighbourhood of a feature point close to its original values, whilst maintaining high compression ratios of around 20∶1.
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References
Aw, B.Y.K., Owens, R.A., Ross, J.: A catalogue of 1-d features in natural images. Manuscript submitted to Neural Computation. (1991)
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Morrone, M.C., Owens, R.A.: Feature detection from local energy. Pat. Recog. Letters. 6 (1987) 303–313.
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© 1992 Springer-Verlag Berlin Heidelberg
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Aw, B.Y.K., Owens, R.A., Ross, J. (1992). Image compression and reconstruction using a 1-D feature catalogue. In: Sandini, G. (eds) Computer Vision — ECCV'92. ECCV 1992. Lecture Notes in Computer Science, vol 588. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-55426-2_85
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DOI: https://doi.org/10.1007/3-540-55426-2_85
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