Paper Details

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 Smartphonecaptured images In this proposed algorithm we have used technique of image fusion with two other methodsfor tone mapping and dynamic range compression. In addition, the proposed method not only restores colorinformation, but also retains image details. Image fusion is a process of blending the complementary as wellas the common features of a set of images, to generate a resultant image with superior information contentin terms of subjective as well as objective analysis point of view. The objective of this research work is todevelop 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. Weaddress 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 becompressed significantly, which can induce a loss of contrast resulting in a loss of detail visibility. We haveused MSR and Gamma correction techniques to improve the image quality, and result showed that ourproposed algorithm can efficiently improve the information contained in image. The output image can beused in further processing like segmentation, classification etc.

JAYDEEP R. TADHANI, MOHIT BHADLA, PIYUSH GOHEL, “ACHIEVING QUALITY IMPROVANCE BY COMPRESSING DYNAMIC RANGE OF IMAGE AND TONE MAPPING WITH IMAGE FUSION”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 1, Issue 5, pp. 16-25, May 2014.