International Journal of Engineering, Science and Mathematics
  • Year: 2018
  • Volume: 7
  • Issue: 4

Image denoising and their comparison using various filters and different types of noise

  • Author:
  • Vaishali Suryavanshi1, Deepti Rai2
  • Total Page Count: 10
  • Page Number: 624 to 633

1PG student, Department of Electronics and Communication Engineering, (AIT), Ujjain (M.P)

2Proffessor Electronics & Comm. Engg. Dept., Alpine Institute of Technology (AIT), Ujjain (M.P)

Online published on 4 May, 2019.

Abstract

Digital Image Processing is a promising area of research in the fields of electronics and communication engineering, consumer and entertainment electronics, control and instrumentation, biomedical instrumentation, remote sensing, robotics and computer vision and computer aided manufacturing (CAM). For a meaningful and useful processing such as image segmentation and object recognition, and to have very good visual display in applications like television, photo-phone, etc., the acquired image signal must be deblurred and made noise free. The deblurring and noise suppression (filtering) come under a common class of image processing tasks known as image restoration.

Keywords

Discrete wavelet transform, image processing, noise removal, median filter, PSNR