2321-0850
2.47 [According Google C. Report] | SJIF : 5.263 | PIF : 4.128
| Sr. No. | Title and Author Name | Page No. | Download |
|---|---|---|---|
| 1 | Title : Advanced Intelligence System To Remove Salt & Pepper Noise By Modified Median Filter: A Survey Authors : Sunil Bajpai , Devendra Singh Kushwaha Click Here For Abstract Abstract :Isolating or reducing salt & pepper noise is a vast attractive research in image processing. Removing impulse noise is believed to be very important in the domain of image regression, but it is a certain more challenging area than isolating pure noise |
1-5 | |
| 2 | Title : Advanced Intelligence System To Remove Salt & Pepper Noise By Modified Median Filter Authors : Sunil Bajpai , Devendra Singh Kushwaha Click Here For Abstract Abstract :Isolating or reducing salt & pepper noise is a vast attractive research in image processing. Removing impulse noise is believed to be very important in the domain of image regression, but it is a certain more challenging area than isolating pure noise... |
6-14 | |
| 3 | Title : X-Ray Image Enhancement using ANN Based TV Homomorphic Filter Technique Authors : Girajesh Tripathi , Mr. Akhilesh Pandey Click Here For Abstract Abstract :Image Enhancement is one of the important requirements in Digital Image Processing which is important in making an image useful for various applications which can be seen in the areas of Digital photography, Medicine, Geographic Information System, Industrial Inspection, Law Enforcement and many more Digital Image Applications. Image Enhancement is used to improve the quality of poor images. |
15-21 | |
| 4 | Title : An Edge Detection Filter by Using Firefly with ANN Algorithm Authors : Anju Choudhry , Mr. Akhilesh Pandey Click Here For Abstract Abstract :Edge detection is a procedure of identifying and detecting sharpened disruption in an image. The disruption are unexpected changes in pixel intensity gray level value. The conventional approach of edge detection include convolving the image with an operator (2- D filter) which |
22-26 |
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