A NOVEL FORMULA FOR CONJUGATE GRADIENT METHOD IMPULSE NOISE REDUCTION FROM IMAGES

Document Type : Research Paper

Authors

1 Department of Mathematics, College of Computers Sciences and Mathematics, University of Mosul, Iraq.

2 Department of Mathematics, College of Computers Sciences and Mathematics,University of Mosul, Iraq.

Abstract

The main emphasis in conjugate gradient methods is usually on the conjugate formula. This research introduces a novel coefficient for the conjugate gradient approach, based on Perry’s conjugacy
condition and a quadratic model, aimed at addressing image restoration difficulties. The algorithms
demonstrate global convergence and possess the essential property of descent. The new approach
showed a considerable enhancement through numerical experimentation. It has been proven that the
inventive conjugate gradient method performs superiorly compared to the traditional FR conjugate
gradient technique. The new method displayed a significant improvement through numerical testing.
It has been illustrated that the innovative conjugate gradient technique outperforms the conventional
FR conjugate gradient method.

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Main Subjects