Date of Publication :7th November 2016

Abstract: Tone mapping is a technique used in image processing to map one set of colors to another to approximate the appearance of high dynamic range images to a medium that has more limited dynamic range. Tone Mapping Operators (TMOs) mostly operate on the image luminance channel intensities. In this paper, a Rani TMO has been proposed. Its performance is compared with three important tone mapping operators named Durand, Drago and Raman and analyzed for YUV color spaces. These results are obtained by first converting HDR image to LDR image using TMOs then processed for YUV color spaces. Objective assessment parameters such as MSE, mean, median, Luminance, PSNR and mPSNR have been calculated. The results reveals that proposed Rani TMO is more efficient compared to other TMOs. The work presented in this paper finds applications in the fields of remote sensing, digital photography, image editing and virtual reality.

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