Design of HDR Images by Detecting and Removing Blurred (Ghost) Objects

  • Kareemunisa, S M Tech, Jagadish Kanade
  • Published 2014


Image Fusion is a process of combining the relevant information from a set of images into a single image, where the resultant fused image will be more informative and complete than any of the input images. Image fusion techniques can improve the quality and increase the application of these data. A multiple exposure fusion to enhance the dynamic range of an image is proposed. The construction of high dynamic range images (HDRI) is performed by combining multiple images taken with different exposures and estimating the irradiance value for each pixel. This is a common process for HDRI acquisition. During this process, displacements of the images caused by object movements often yield motion blur and ghosting artifacts. To address the problem, this paper presents an efficient and accurate multiple exposure fusion technique for the HDRI acquisition. Detecting and removing ghosting artifacts 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. Address ghosting by performing change detection on exposure-normalized images, then reducing the contribution of moving objects to the final composite on a frame-by-frame basis. Change detection is computationally advantageous and it can be applied to images exhibiting varied ghosting artifacts. Kareemunisa. S M.Tech, HKBK College of engineering Jagadish Kanade Assistance professor, HKBK College of engineering ISSN 2319-9725 May, 2014 Vol3 Issue 5 International Journal of Innovative Research and Studies Page 130

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Cite this paper

@inproceedings{Kareemunisa2014DesignOH, title={Design of HDR Images by Detecting and Removing Blurred (Ghost) Objects}, author={Kareemunisa and S M Tech and Jagadish Kanade}, year={2014} }