
doi: 10.2139/ssrn.3385374
Image denoising becomes a big concern when we talk about image processing and eradication of the noises from any processed image. Images should be denoised in such a manner that the noises present in images are removed while preserving information without altering them. As image noises corrupts image hence it becomes essential to remove it and for this there are numerous algorithms available. Each one is having its own assumption, pros and cons and limitations. This review paper presents some works that has been recently done on image denoising.
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
