6533b829fe1ef96bd128a32e
RESEARCH PRODUCT
Ghost Detection and Removal for High Dynamic Range Images: Recent Advances
Désiré SidibéAbhilash Srikanthasubject
Image generationExposures fusionComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technology[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]GeneralLiterature_MISCELLANEOUSImage (mathematics)Ghost detectionComputer graphics (images)0202 electrical engineering electronic engineering information engineeringComputer visionElectrical and Electronic EngineeringGhostingHigh dynamic rangeComputingMethodologies_COMPUTERGRAPHICSSequencebusiness.industry[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]020207 software engineeringHigh dynamic range imagesGhost removalSignal Processing020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionArtificial intelligencebusinessSoftwaredescription
23 pages; International audience; High dynamic range (HDR) image generation and display technologies are becoming increasingly popular in various applications. A standard and commonly used approach to obtain an HDR image is the multiple exposures fusion technique which consists of combining multiple images of the same scene with varying exposure times. However, if the scene is not static during the sequence acquisition, moving objects manifest themselves as ghosting artefacts in the final HDR image. Detecting and removing ghosting artefacts is an important issue for automatically generating HDR images of dynamic scenes. The aim of this paper is to provide an up-to-date review of the recently proposed methods for ghost-free HDR image generation. Moreover, a classification and comparison of the reviewed methods is reported to serve as a useful guide for future research on this topic.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2012-02-13 |