Back close

Edge Preserving Image Fusion Using RMS Contrast and Linear Prediction Model

School: School of Engineering

Project Incharge:Mrs.Hema P Menon
Co-Project Incharge:Sreeja S
Edge Preserving Image Fusion Using RMS Contrast and Linear Prediction Model

This work focuses on enhancing the visual quality of medical images obtained using X-Ray, MRI and CT modalities through edge preserving image fusion techniques. This would be helpful for doctors in analysis and treatment planning, as it provides a better visualization of the images under consideration.  The fusion of the images has done using Root Mean Square (RMS) based perceptual contrast measure and a linear prediction (LP) based edge extraction method. To assess the performance of the proposed fusion scheme, the results obtained are analyzed using the following quality metrics say, Universal Image Quality Index, Structural Similarity Index Measure (SSIM), Fusion Mutual Information (FMI), Structural Content and Entropy Measure, which are suitable when the ground truth is not available for comparison.

Related Projects

Intelligent, Animal Attack Prevention System for Crop Protection
Intelligent, Animal Attack Prevention System for Crop Protection
Machine Learning based Hand Orthotic Device
Machine Learning based Hand Orthotic Device
Negative Pressure Isolation Hooded Wheel Chair
Negative Pressure Isolation Hooded Wheel Chair
A study on the utilization of student welfare schemes offered by Government of Tamil Nadu in Coimbatore district.
A study on the utilization of student welfare schemes offered by Government of Tamil Nadu in Coimbatore district.
KaraChara- Hand Orthosis for Rehabilitation of Stroke Patients
KaraChara- Hand Orthosis for Rehabilitation of Stroke Patients
Admissions Apply Now