Implementation of Image Fusion Scheme for 2D Images using DWT and PCA techniques
Shreya Choudhary
, Suresh F Murgod , Vishwanath K Ganiger
Image fusion, DT-CWT, Fused images, PCA, Multi-resolution, Image reconstruction, Gradient Criterion, Relative Smoothness Criterion.
Image fusion is the process of extracting meaningful visual information from two or more images and combining them to form one fused image. Image fusion is important within many different image processing fields from remote sensing to medical applications. In various real life applications, such as medical image diagnosis, image fusion plays important role. Because of undefined nature of practical imaging systems the capture images or acquired images are corrupted from different types of noises hence fusion of image is an integrated approach where reduction of noise and retaining the original features of image is essential. Here the input to fusion involves set of images taken from different modalities of the same scene; Output is a better quality image. Image fusion is important within many different image processing fields from remote sensing to medical applications. Combining of two different modality images using wavelet transform and various fusion rules to fuse CT and MRI images. This method gives encouraging results in terms of greater entropy. The DWT(Discrete wavelet Transform) technique uses three methods of fusion i.e Maximum Selection Method, Average Selection Method and Minimum Selection Method. Of these three methods the Maximum Selection Method gives greater entropy. PCA(Principal Component Analysis) technique is one of the most widely used techniques for dimension reduction, image fusion, feature identification, pattern recognition.The PCA technique gives the greater entropy value when compared to DWT and is one of more efficient technique.
"Implementation of Image Fusion Scheme for 2D Images using DWT and PCA techniques", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.1, Issue 11, page no.83 - 88, November-2016, Available :https://ijsdr.org/papers/IJSDR1611014.pdf
Volume 1
Issue 11,
November-2016
Pages : 83 - 88
Paper Reg. ID: IJSDR_160797
Published Paper Id: IJSDR1611014
Downloads: 000347459
Research Area: Engineering
Country: Belagavi, Karnataka, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
