Asian Journal of Information Technology
ISSN: Online 1993-5994ISSN: Print 1682-3915
Abstract
This research reports on the fuzzy based approach to improve visualization of the image by combing multiple exposure image in to a single high quality image. A fuzzy based luminance correction for weight adoption along with sub band architecture for image decomposition is carried out. The multiple exposure images of low dynamic range of natural scenes are considered as input images. Fuzzy based Weighted Sub banding (FWS) algorithm is proposed for enhancing the fusion method. From multiple exposures input image, the Y, CbCr color model is obtained and the illumination based weight is calculated with fuzzy member function. The proposed method is compared with the existing approaches in terms of saturation, color. Accuracy of the proposed technique is shown with reference to the other methods. The resultant output produced is visually pleasing.
How to cite this article:
K. Sujatha and D. Shalini Punithavathani. Fuzzy Based Weight Estimation and Sub Band Architecture in Image Fusion.
DOI: https://doi.org/10.36478/ajit.2016.384.392
URL: https://www.makhillpublications.co/view-article/1682-3915/ajit.2016.384.392