Intensification Of Dark Mode Images Using FFT And Bilog Transformation

Abstract

With the advancement of technologies, the images are created with more and more enhancement. Our project is based on creating a generalized equalization model for image enhancement and further improving the same using Fast Fourier Transform and Bilog Transformation. Here, we analyse the relationship between image histogram and contrast enhancement and white balancing. In the proposed system, we enhance not only images, but also videos both live and recorded. The original image is stored in RAW format which is too big for normal displays. Hence we make use of tone mapping techniques such as Gamma Correction. White Balancing and Contrast Enhancement are two categories of tone mapping. We make use of histogram analysis which is the combination of both the categories of tone mapping in this process. In order to enhance the generalized equalization model, FFT filter is used to find the intensity, i.e., whether the image has low resolution or high resolution. Then, in order to naturalize the image we use Bilog transformation. Using Bilog transformation, we map the illumination to make a balance between the details and naturalness. Then we use NTSC colour space evaluation in order to get the complete enhanced image.

Authors and Affiliations

Dhruthi Yeleshetty, Shilpa A, Sherine Mary R

Keywords

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  • EP ID EP28162
  • DOI -
  • Views 266
  • Downloads 1

How To Cite

Dhruthi Yeleshetty, Shilpa A, Sherine Mary R (2015). Intensification Of Dark Mode Images Using FFT And Bilog Transformation. International Journal of Research in Computer and Communication Technology, 4(3), -. https://europub.co.uk/articles/-A-28162