Influence of various types of basic functions on image reconstruction using F-transform

Abstract

Technique of image reconstruction using Ftransform uses basic functions for computation. Radius and partition of these functions affects quality of the reconstruction. In this article we are focusing on influence of the basic function shape on the quality of reconstruction and providing results of nondecreasing, nonincreasing and oscillating examples.

Generating Suitable Basic Functions Used in Image Reconstruction by F-Transform

“…Differences and influences on computation are described in [8]. We choose basic functions with radius 2 in the first step of reconstruction and radius 4 in the second step because of fully sufficient usage on the input set of testing images.…”

F-transform and discrete convolution

“…It has been shown that F-transform can be applied in image processing for edge detection [4], image filtering [5], image fusion [6], noise reduction [7], etc.…”