ACHIEVING QUALITY IMPROVANCE BY COMPRESSING DYNAMIC RANGE OF IMAGE AND TONE MAPPING WITH IMAGE FUSION

Abstract

Building a mathematical model of uneven illumination and contrast is difficult, even impossible.
This paper presents a novel image balancing method for different kinds of remote sensing and Smartphone
captured images In this proposed algorithm we have used technique of image fusion with two other methods
for tone mapping and dynamic range compression. In addition, the proposed method not only restores color
information, but also retains image details. Image fusion is a process of blending the complementary as well
as the common features of a set of images, to generate a resultant image with superior information content
in terms of subjective as well as objective analysis point of view. The objective of this research work is to
develop some novel image fusion algorithms and their applications in various fields such as crack detection,
multi spectra sensor image fusion, medical image fusion and edge detection of multi-focus images etc. We
address the problem of tone mapping high dynamic range (HDR) images to standard displays (CRT, LCD)
and to HDR displays. With standard displays, the dynamic range of the captured HDR scene must be
compressed significantly, which can induce a loss of contrast resulting in a loss of detail visibility. We have
used MSR and Gamma correction techniques to improve the image quality, and result showed that our
proposed algorithm can efficiently improve the information contained in image. The output image can be
used in further processing like segmentation, classification etc.