Ramanujan Sums as Derivatives and Applications

In 1918, S. Ramanujan defined a family of trigonometric sums now known as Ramanujan sums. In this letter, we define a class of operators based on the Ramanujan sums termed here as Ramanujan class of operators. We then prove that these operators possess properties of first derivative and with a particular shift, of second derivative also. Applications of Ramanujan class of operators for edge detection and noise level estimation are also demonstrated.

[1]  Azriel Rosenfeld,et al.  Digital Picture Processing, Volume 1 , 1982 .

[2]  Rafael C. González,et al.  Local Determination of a Moving Contrast Edge , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[3]  P. P. Vaidyanathan Ramanujan Sums in the Context of Signal Processing—Part II: FIR Representations and Applications , 2014, IEEE Transactions on Signal Processing.

[4]  Azriel Rosenfeld,et al.  Digital Picture Processing , 1976 .

[5]  Anil K. Jain Fundamentals of Digital Image Processing , 2018, Control of Color Imaging Systems.

[6]  P. P. Vaidyanathan,et al.  Ramanujan Sums in the Context of Signal Processing—Part I: Fundamentals , 2014, IEEE Transactions on Signal Processing.

[7]  Benjamin Pfaff,et al.  Handbook Of Image And Video Processing , 2016 .

[8]  M. Planat,et al.  Ramanujan sums for signal processing of low frequency noise , 2002, Proceedings of the 2002 IEEE International Frequency Control Symposium and PDA Exhibition (Cat. No.02CH37234).

[9]  G. Hardy,et al.  An Introduction to the Theory of Numbers , 1938 .

[10]  F. Hampel The Influence Curve and Its Role in Robust Estimation , 1974 .

[11]  D. L. Donoho,et al.  Ideal spacial adaptation via wavelet shrinkage , 1994 .