A Relative Study of Various Noise Removal Techniques in Images
In image processing, noise reduction and restoration of image is expected to enhance the qualitative inspection of an image and the performance criteria of quantitative image analysis methods. Digital image is inclined to a variety of noise which attribute the quality of image. The main purpose of de-noising the image is to reinstate the detail of original image as much as possible. The criteria of the noise removal problem depend on the noise type by which the image is contaminated. In the field of reducing the image noise various types of linear and non-linear filtering techniques have been proposed. Different approaches for reduction of noise and image betterment have been considered, each of which has their own merits and demerits. This paper presents a review of recent methods for the noise reduction in images. The techniques discussed here deals with the impulse, multiplicative and additive noise. The quantitative analysis shows that these methods possess good edge preserving as well as noise suppression capability.
Keywords: Digital Image Processing, Images Types, Image Noise Model, Filters, Discrete Wavelet Transform (DWT), PSNR, MSE, RMSE
Cite this Article
Shavya Singh. A Relative Study of Various Noise Removal Techniques in Images. Journal of Web Engineering & Technology. 2017; 4(2): 22–30p.
- There are currently no refbacks.