Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Low Light Video Enhancement along with Objective and Subjective Quality Assessment
Blekinge Tekniska Högskola, Fakulteten för teknikvetenskaper, Institutionen för tillämpad signalbehandling.
Blekinge Tekniska Högskola, Fakulteten för teknikvetenskaper, Institutionen för tillämpad signalbehandling.
2016 (Engelska)Självständigt arbete på avancerad nivå (magisterexamen), 20 poäng / 30 hpStudentuppsats (Examensarbete)
Abstract [en]

Enhancing low light videos has been quite a challenge over the years. A video taken in low light always has the issues of low dynamic range and high noise. This master thesis presents contribution within the field of low light video enhancement. Three models are proposed with different tone mapping algorithms for extremely low light low quality video enhancement. For temporal noise removal, a motion compensated kalman structure is presented. Dynamic range of the low light video is stretched using three different methods. In Model 1, dynamic range is increased by adjustment of RGB histograms using gamma correction with a modified version of adaptive clipping thresholds. In Model 2, a shape preserving dynamic range stretch of the RGB histogram is applied using SMQT. In Model 3, contrast enhancement is done using CLAHE. In the final stage, the residual noise is removed using an efficient NLM. The performance of the models are compared on various Objective VQA metrics like NIQE, GCF and SSIM.

To evaluate the actual performance of the models subjective tests are conducted, due to the large number of applications that target humans as the end user of the video.The performance of the three models are compared for a total of ten real time input videos taken in extremely low light environment. A total of 25 human observers subjectively evaluated the performance of the three models based on the parameters: contrast, visibility, visually pleasing, amount of noise and overall quality. A detailed statistical evaluation of the relative performance of the three models is also provided.

Ort, förlag, år, upplaga, sidor
2016. , s. 72
Nyckelord [en]
Contrast enhancement, Dynamic range, Kalman filter, Spatial denoising, Noise reduction, Temporal denoising, Tone mapping.
Nationell ämneskategori
Signalbehandling
Identifikatorer
URN: urn:nbn:se:bth-13500OAI: oai:DiVA.org:bth-13500DiVA, id: diva2:1049221
Externt samarbete
Sällberg Technologies e.U.
Ämne / kurs
ET2566 Masterarbete i Elektroteknik med inriktning mot Signalbehandling
Utbildningsprogram
ETASX Masterprogram i Elektroteknik med inriktning mot signalbehandling
Handledare
Examinatorer
Tillgänglig från: 2016-11-28 Skapad: 2016-11-23 Senast uppdaterad: 2016-11-28Bibliografiskt granskad

Open Access i DiVA

fulltext(10974 kB)514 nedladdningar
Filinformation
Filnamn FULLTEXT02.pdfFilstorlek 10974 kBChecksumma SHA-512
ee0e793cabfc0ce16c58a670dfe4db5b0318b4bc35ac4fc43aa6d29a87f250ffd0ad6b2653cbbdd514352a4e15438cd8b5140281c812ed27543670a094cb7f30
Typ fulltextMimetyp application/pdf

Av organisationen
Institutionen för tillämpad signalbehandling
Signalbehandling

Sök vidare utanför DiVA

GoogleGoogle Scholar
Totalt: 514 nedladdningar
Antalet nedladdningar är summan av nedladdningar för alla fulltexter. Det kan inkludera t.ex tidigare versioner som nu inte längre är tillgängliga.

urn-nbn

Altmetricpoäng

urn-nbn
Totalt: 874 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf