Abstract: This work presents the review on concept of image fusion method by using DNN. The CNN and DBN system has a problem with accuracy, then proposed method is used for improving the system. The fundamental test of picture de-obscuring is to devise effective and dependable calculations for recuperating however much data as could reasonably be expected from the given information. The use of DBN network in existing system works only to reduce error in system. Due to this, it requires better deep learning method for improving accuracy of system. The CNN method uses only 2 convolutional layers for feature mapping. But the proposed method uses 5 convolutional layers and 3 overlapping layers. Due to this, it will help to improve accuracy of system as compared to other existing methods.

Keywords: Image Classification, Machine Learning, Deep Learning, MATLAB etc.

PDF | DOI: 10.17148/IJARCCE.2022.11213

Open chat
Chat with IJARCCE