Vol. 5 No. 2 (2021): Vol 5, Iss 2, Year 2021

Image extraction using convolution kernal

Sumathi C B
PG and Research Department of Mathematics, Marudhar Kesari Jain College for Women, Tamil Nadu, India
Jothilakshmi R
PG and Research Department of Mathematics, Mazharul Uloom College, Tamil Nadu, India
Published December 20, 2021
  • Noise reduction, image processing, convolution filter, difference equation recurrent neural network.
How to Cite
C B, S., & R, J. (2021). Image extraction using convolution kernal. Journal of Computational Mathematica, 5(2), 41 - 47. https://doi.org/10.26524/cm105


This paper discusses about the noise reduction of images using the convolution matrix. The convolution kernel matrix filters generate new features of the input images with good quality.The noise reduction methods based on convolution kernel is achieved by deep learning theory along with the difference equations. The random variation of the colour and brightness are taken as authenticated coefficients of the images. Convolution techniques along withrecurrent neural
network are applied into theinput image. This input image is divided into the matrix of pixel values. The optimal enhanced image is arrived through convolution kernel using computational learning of autonomous difference equations.


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