Enhancement of blurry retinal image based on non-uniform contrast stretching and intensity transfer.
Proper contrast and sufficient illuminance are important in clearly identifying the retinal structures, while the required quality cannot always be guaranteed due to major reasons like acquisition process and diseases. To ensure the effectiveness of enhancement, two solutions are developed for blurr...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 58; no. 3; pp. 483 - 497 |
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| Autores principales: | , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Mar2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=142105120&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 142105120 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Mar2020 vid: 58 iid: 3 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 142105120 142105120 NLM31897799 10.1007/s11517-019-02106-7 NLM31897799 142105120 ppf: 483 ppct: 14 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Enhancement of blurry retinal image based on non-uniform contrast stretching and intensity transfer. aug: au: Cao, Lvchen Li, Huiqi affil: School of Information and Electronics, Beijing Institute of Technology, 100081, Beijing, China sug: subj: Contrast Media Image Enhancement Retina Models, Biological Color Clinical Assessment Tools Ferrans and Powers Quality of Life Index ab: Proper contrast and sufficient illuminance are important in clearly identifying the retinal structures, while the required quality cannot always be guaranteed due to major reasons like acquisition process and diseases. To ensure the effectiveness of enhancement, two solutions are developed for blurry retinal images with sufficient illuminance and insufficient illuminance, respectively. The proposed contrast stretching and intensity transfer are main steps in both of the two solutions. The contrast stretching is based on base-intensity removal and non-uniform addition. We assume that a base-intensity exists in an image, which mainly supports the basic illuminance but has less contribution to texture information. The base-intensity is estimated by the constrained Gaussian function and then removed. The non-uniform addition using compressed Gamma map is further developed to improve the contrast. Additionally, an effective intensity transfer strategy is introduced, which can provide required illuminance for a single channel after contrast stretching. The color correction can be achieved if the intensity transfer is performed on three channels. Results show that the proposed solutions can effectively improve the contrast and illuminance, and good visual perception for quality degraded retinal images is obtained. Illustration of contrast stretching based on a signal colour channel. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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