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Image Cognizance through Fuzion - Blending

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International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 96 - Number 22
Year of Publication: 2014
Authors:
Disha Suru
Sunil Karamchandani
10.5120/16925-6895

Disha Suru and Sunil Karamchandani. Article: Image Cognizance through Fuzion - Blending. International Journal of Computer Applications 96(22):13-16, June 2014. Full text available. BibTeX

@article{key:article,
	author = {Disha Suru and Sunil Karamchandani},
	title = {Article: Image Cognizance through Fuzion - Blending},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {96},
	number = {22},
	pages = {13-16},
	month = {June},
	note = {Full text available}
}

Abstract

High dynamic range (HDR) imaging from a set of sequential exposures is not an easy way to capture high quality images of static scenes due either observational constraints or design constraints. It also suffers from artifacts for scenes with significant motion. In this paper, we proposed a new approach to HDR reconstruction that not only draws information but also it is more robust to camera scene motion than previous techniques because it simply utilize single image. As proposed method based on single image fusion, alignment process is completely neglected. This allows us to produce and HDR result which is more accurately represent the range of intensity levels found in real scenes, ranging from direct sunlight to faint starlight. The main aim of this is to reproduce what the human eye can see in terms of exposure and that offer a heightened view of reality with grater saturation and tonal range.

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