Efficient Image De-Noising Technique Based on Modified Cuckoo Search Algorithm.
The image restoration has emerged as a very vital investigation technique in the domain of the image processing. The underlying motive behind the image restoration is devoted to the augmentation of the perceived visual impact of image so as to make it almost identical to the original image. A host o...
| Published in: | Journal of Medical Systems Vol. 43; no. 10 |
|---|---|
| Main Authors: | , , , |
| Format: | equations & formulas pictorial tables/charts Journal Article |
| Published: |
Springer Nature
Oct2019
|
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=138910958&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 138910958 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: Oct2019 vid: 43 iid: 10 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 138910958 138910958 138910958 10.1007/s10916-019-1423-1 138910958 ppct: 1 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Efficient Image De-Noising Technique Based on Modified Cuckoo Search Algorithm. aug: au: Sakthidasan @ Sankaran K Vasudevan N Kumara Guru Diderot P. Nagarajan V affil: Department of Electronics and Communication Engineering, Hindustan Institute of Technology and Science, 603103, Chennai, India sug: subj: Image Processing, Computer Assisted Methods Algorithms Image Enhancement Methods Signal Processing, Computer Assisted ab: The image restoration has emerged as a very vital investigation technique in the domain of the image processing. The underlying motive behind the image restoration is devoted to the augmentation of the perceived visual impact of image so as to make it almost identical to the original image. A host of exploration approaches are now in vogues which are intended to steer clear of the noise, thereby regaining the images with original quality. In our earlier research, two distinct noise elimination methods like the (OGHP) and SURE shrinkage were effectively employed for the purpose of denoising, though the relative PSNR and SSIM efficiencies did not come up to the desired level. In the innovative approach envisaged in the document, at the outset, the noise is included by means of two processes like the salt and pepper and impulse noise. Subsequently, the pre-processing methods are performed with the able assistance of two novel filters such as the adaptive median filter and adaptive fuzzy switching. Thereafter, the preprocessed image is furnished to the succeeding function of noise elimination like the (OGHP) and SURE shrinkage. In the course of the OGHP noise elimination technique, the GHP constraints are optimized by employing the Cuckoo Search Algorithm. Thereafter, the noise-eliminated image is effectively estimated with the help of the Discrete Wavelet Transform (DWT). The consequential noiseless images are subjected to the image restoration procedure by efficiently employing the AGA approach. The cheering performance outcomes chant the success stories of the novel image restoration method, highlighting its superlative efficiency. Moreover, the efficacy of the innovative approach is assessed by means of a set of noise-polluted images and contrasted with the modern noiseless image restoration technique. pubtype: Academic Journal doctype: equations & formulas pictorial tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|