Design of Cascaded CNN for Medical Image Super Resolution

Kajol Singh,Manish Saxena

doi:10.24113/ijoscience.v7i3.367

Kajol Singh, Manish Saxena

Open Access

https://doi.org/10.24113/ijoscience.v7i3.367

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Abstract

The images captured through a camera usually belong to over or under exposed conditions. The reason may be inappropriate lighting conditions or camera resolution. Hence, it is of utmost importance to have a few enhancement techniques that could make these artefacts look better. Hence, the primary objective pertaining to the adjustment and enhancement techniques is to enhance the characteristics of an image. The initial numeric values related to an image get distorted when an image is enhanced. Therefore, enhancement techniques should be designed in such a way that the image quality isn’t compromised. This research work is focused on proposed a network design for deep convolution neural networks for application of super resolution techniques. To improve the complexity of existing techniques this work is intended towards network designs, different filter size and CNN architecture. The CNN model is most effective model for detection and segmentation in image. This model will improve the efficiency of medical image reconstruction from LR to HR. The proposed model showed its efficiency not only PET medical images but also on retinal database and achieved advance results as compared to existing works.

Highlights

The past couple of years, multimedia content has generated at a rapid rate across the globe
In this work PET images of brain are taken as data for performance evaluation of proposed model
To improve the complexity of existing techniques this work is intended towards network designs, different filter size and convolution neural network (CNN) architecture

Summary

Introduction

The past couple of years, multimedia content has generated at a rapid rate across the globe. If we look at the past, we would realize that only a very small section of the society had the privilege to possess cameras or camcorders. In the modern day world, digital equipment’s are possessed by almost everyone we see. It is necessary to convert all images in form of f(x, y) function in the very first step, for which calculations has to be done. The calculations are done by appropriate use of these values. The process is given the name digital image processing. The reason being, all images are converted in readable format which could be read by a digital computer

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