Abstract
In the present paper, a novel compression technique is used to compress the document images without compromising abrupt quality degradation. An Adaptive neuro-fuzzy inference system (ANFIS) based classification scheme is used for segmenting the input document followed by some neighborhood smoothing is performed. A tuning based adaptive compression scheme is used for compressing the ANFIS classified data. A 3D trade-off between quality, compression ratio and relative occupancy of image region is addressed in a calibrated manner.
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Das, A., Issac, A. (2013). QPAC: A Novel Document Image Compression Technique Based on ANFIS for Calibrated Quality Preservation. In: S, M., Kumar, S. (eds) Proceedings of the Fourth International Conference on Signal and Image Processing 2012 (ICSIP 2012). Lecture Notes in Electrical Engineering, vol 221. Springer, India. https://doi.org/10.1007/978-81-322-0997-3_6
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DOI: https://doi.org/10.1007/978-81-322-0997-3_6
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