Research Article
Shadma Amreen · Prof. Anuj Bhargava · Prof. Prashant Badal
Journal
International Journal of Digital Applications and Contemporary Research (IJDACR)
ISSN
2319-4863
Volume / Issue
Vol.6 · Issue 10
Published
May 2018
Access
Open Access
Licence
CC BY-NC-SA 4.0
During a clinical study or diagnosis, many sources of information are available to the clinician: different imaging modalities, and different tools to better study the structure or pathology. The clinician must synthesize these different pieces of information in order to perform accurate and reliable diagnosis and / or treatment. However, this synthesis can be long, tedious and remains highly dependent on the operator who takes care of it.
In this context, image fusion appears as a new tool to help diagnosis; making the task easier for the doctor by providing a simpler fusion tool than mental fusion. As part of this work, the paper presents a comparative study of fusion techniques, the first one based on the discrete wavelet transform (DWT) and the second one based on discrete cosine transform (DCT) and the third one that is new based on the hybridization of DCT and DWT.
Shadma Amreen, Prof. Anuj Bhargava, Prof. Prashant Badal (2018). Medical Image Fusion using Hybrid DCT-DWT based Approach. International Journal of Digital Applications and Contemporary Research (IJDACR), Vol.6, Issue 10. ISSN: 2319-4863.
Full references are available in the PDF version of this paper.
Download Full Paper (PDF) →Share This Paper
Call for Submissions
IJDACR accepts submissions on a rolling basis. Authors are advised to consult the preparation guidelines and scope documentation prior to submission.
Submissions are subject to editorial screening and peer review. Submission does not guarantee acceptance.