Medical images fusion using two-stage combined model DWT and DCT

Year 2021, Volume: 5 Issue: 3, 344 - 351, 15.12.2021

Ehsan Amiri , Mina Rahmanian Saeed Amiri , Hadi Yazdani Praee

https://doi.org/10.35860/iarej.910982

Cited By: 3

Abstract

The purpose of image enhancement is to improve the interpretation or perception of information in the image for viewers and the input of automated processing systems. Combining a multicenter image is a way of combining several images on a screen, focusing on different objects so that all objects appear in focus in the final image. Wavelet transform and cosine transform are used in many image processing applications, including image fusion. This paper's technique will combine DWT and DCT in two steps for medical MRI and PET images, eventually extracting the combined image. Input images are first divided into 8-pixel blocks in which DCT coefficients are extracted. After extracting the DCT coefficients, the first step of the combination takes place. The re-images will then be combined with the DWT conversion. According to the presented data, the proposed method achieved up to 5% better combination and, as a result, better image quality than the single-stage DWT and DCT methods.

Keywords

Discrete Cosine Transform, Discrete Wavelet Transform, Image fusion, Medical images

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