1. What have the authors contributed in "General logarithmic image processing convolution" ?
This paper presents, for the first time, two general formulations of the 2-D convolution of separable kernels under the LIP paradigm.
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2. What are the future works in "General logarithmic image processing convolution" ?
These two methods, particularly the FGLIP-Conv, open up a great range of possibilities in the fields of image and video processing.. It will also allow us to carry out a generic study on how to parallelize it, which will allow us to port it easily to other SIMD architectures.. Using this general operator, other more elaborated techniques will be easier to obtain.
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3. What is the meaning of the range of gray-level functions?
in order to be able to work in an algebraic vector space, the range has been extended to f 2 ( 1;M) , although just the positive gray tones physically correspond to bounded1057-7149/$20.00 © 2006 IEEEintensity images, while ( 1; 0) has only a mathematical meaning.
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4. What is the reason for the speedup of the FGLIP-Conv?
Another reason for the speedup is that the FGLIP-Conv makes use of additions and multiplications, opposed to the Deng and Pinoli’s method, which is based on multiplications and exponentiations, much slower and computationally more complex than the first ones.
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