A New Method of Image Fusion Technique for Impulse Noise Removal in Digital Images

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Dr.J.Harikiran
Dr.J.Harikiran
σ
B.Saichandana
B.Saichandana
ρ
K.Keerthi
K.Keerthi
Ѡ
D.Anish
D.Anish
α GITAM University GITAM University

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A New Method of Image Fusion Technique for Impulse Noise Removal in Digital Images

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Abstract

Image fusion is the process of combining two or more images into a single image while retaining the important features of each image. Multiple image fusion is an important technique used in military, remote sensing and medical applications. This paper presents a new method of image fusion for impulse noise removal in digital images. The images are captured by five sensors and undergo filtering by five different filtering algorithms. These five de-noised images from five different filters are combined into a single image to obtain a high quality image compared to individually de-noised image. The performance of the Image Fusion is evaluated by using a reference image quality metric, Structural similarity Index (SSIM), to estimate how well the important information in the de-noised images is represented by the fused image. Experimental results show that the fused image has more quality than other filtered images.

References

5 Cites in Article
  1. F Vanderheijden (1994). Image Based Measurement Systems.
  2. James Church,Yixin Chen,Stephen Rice (2008). A Spatial Median Filter for noise removal in digital images.
  3. R Laskar,B Bhowmick,R Biswas,S Kar (2009). Removal of impulse noise from color image.
  4. Z Wang,A Bovik (2002). A universal image quality index.
  5. K Jain (1989). Fundamentals of Digital Image Processing.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr.J.Harikiran. 1970. \u201cA New Method of Image Fusion Technique for Impulse Noise Removal in Digital Images\u201d. Unknown Journal GJCST Volume 11 (GJCST Volume 11 Issue 7): .

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May 6, 2011

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Image fusion is the process of combining two or more images into a single image while retaining the important features of each image. Multiple image fusion is an important technique used in military, remote sensing and medical applications. This paper presents a new method of image fusion for impulse noise removal in digital images. The images are captured by five sensors and undergo filtering by five different filtering algorithms. These five de-noised images from five different filters are combined into a single image to obtain a high quality image compared to individually de-noised image. The performance of the Image Fusion is evaluated by using a reference image quality metric, Structural similarity Index (SSIM), to estimate how well the important information in the de-noised images is represented by the fused image. Experimental results show that the fused image has more quality than other filtered images.

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A New Method of Image Fusion Technique for Impulse Noise Removal in Digital Images

Dr.J.Harikiran
Dr.J.Harikiran GITAM University
B.Saichandana
B.Saichandana
K.Keerthi
K.Keerthi
D.Anish
D.Anish

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