1. An Efficient Method of Image Denoising Using Hybrid Filter Approach
- Author
-
Meenal Saxena, Deepa Detani, and Akhilesh Upadhyay
- Subjects
business.industry ,Computer science ,Wiener filter ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Salt-and-pepper noise ,Non-local means ,symbols.namesake ,Dark-frame subtraction ,Gaussian noise ,Image noise ,Median filter ,symbols ,Computer vision ,Artificial intelligence ,business ,Image restoration - Abstract
Image degradation generally occurs due to transmission channel error, camera misfocus, atmospheric turbulence, relative object-camera motion, etc. Such degradations are unavoidable while a scene is captured through a camera. As degraded images are having less scientific values, restoration of such images is extremely essential in many practical applications. Visual information transmitted in the form of digital images is becoming a major method of communication in the modern age, but the image obtained after transmission is often corrupted with noise. The received image needs processing before it can be used in applications. Image denoising involves the manipulation of the image data to produce a visually high quality image. Salt & pepper (Impulse) noise and the additive white Gaussian noise and blurredness are the types of noise that occur during transmission and capturing. To remove these types of noise we have many filters like mean filter, median filter, inverse filter, wiener filter. No single filter can remove both type of noise. In this paper, attempts have been made to recover images from their degraded observations. Various degradations including, Gaussian noise and salt-n-pepper has been considered, and to recover the image hybrid filter approach has been proposed.
- Published
- 2014