Design of an Image Restoration Model using Filtering Techniques
Subhadra Das, Bhaskar Jeet Dutta, Bhaskarjyoti Deka, Biplab Kr.Das, Ashim Kakati · Zenodo (CERN European Organization for Nuclear Research) · 2019
Image restoration is known as recovery of images. Generally with operation such as noise and transmission of images make it corrupted and it is difficult to recover. Image restoration problem represents one of the primary research focuses in the field of digital image processing. Blurring is hard to avoid in any image acquisition systems, which is caused not just by only one source, but by many, such as atmospheric turbulence, an out-of-focus optical system and aberrations in the imaging system, and so on. In this project, we are working on some image restoration techniques to improve the quality of the images. We use different filtering techniques such as weiner and median filtering to restore the original image from different noise environment Image restoration is known as recovery of images. Generally with operation such as noise and transmission of images make it corrupted and it is difficult to recover. Image restoration problem represents one of the primary research focuses in the field of digital image processing. Blurring is hard to avoid in any image acquisition systems, which is caused not just by only one source, but by many, such as atmospheric turbulence, an out-of-focus optical system and aberrations in the imaging system, and so on. In this project, we are working on some image restoration techniques to improve the quality of the images. We use different filtering techniques such as weiner and median filtering to restore the original image from different noise environment