Sankuratri Ravi Teja et al.; International Journal of Advance Research, Ideas and Innovations in Technology © 2019, www.IJARIIT.com All Rights Reserved Page | 509 ISSN: 2454-132X Impact factor: 4.295 (Volume 5, Issue 2) Available online at: www.ijariit.com Luminance-chrominance-gradient high dynamic range imaging with improved bitonic filter tone mapping technique Ravi Teja Sankuratri ravitejasankuratri@gmail.com Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, Andhra Pradesh B. Ravi Kiran brk2007@gmail.com Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, Andhra Pradesh Mohan Teja Chitturi mohantejachitturi1@gmail.com Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, Andhra Pradesh Pavan Kumar Rudhramahanti pavanpatnaik1998@gmail.com Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, Andhra Pradesh Samhita Revu samhita.revu98@gmail.com Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, Andhra Pradesh ABSTRACT In this paper, we will discuss a new process for High-Dynamic-Range Imaging. In contrast to the traditional method, we are processing the High-Dynamic-Range imaging process in luminance-chrominance-gradient space rather than RGB space. The main motive is to get the more efficient technique and also to avoid color-distortion generating from three different color channels. We introduced a camera responsive function for luminance channel so that we can find out the HDR luminance. On the other hand, for chrominance channels, we introduced weighting in relation to the saturation level. Our technique produces more natural tone-mapped images with more information. Once the luminance, chrominance, and gradient values are extracted from the image, based on logarithmic of the luminance value, the tone mapping technique approximates the appearance of the HDR image. In local tone mapping, there is a detail loss, artifact and higher computation time because of the tone mapping technique. To increase the image quality and to increase the performance of tone mapping is the main idea of the research. Improved Bitonic Tone Mapping (IBTM) is a new technique proposed for efficient tone mapping. In this method, edges have high weights than flat surfaces and a weight factor is added to the bitonic filter. When compared to different tones mapping algorithms like Reinhard, Drago, Exposure, and Gamma, Local adoption etc. shows that from the proposed technique we can achieve higher performance. Keywords— Improved bitonic filter, Luminance, Chrominance, Gradient, Tone mapping, High-Dynamic-Range 1. INTRODUCTION Spatial resolution is not at all an issue any more in natural scenes. Realistic images are obtained either by adding the third dimension or by using more and more gamut of light or colour. The problem with using lighter and colour is addressed by HDR imaging. It addresses the problem by capturing different images of the same scene with different exposures and then composing all of them to get a single image. This image composition technique requires a primary calculation of camera response function, then it should be adequately tone mapped hdr image back to low dynamic range display. Traditional techniques for HDR imaging are developed by from RGB colour space, where the luminance, chrominance colour space is neglected. We consider luminance- chrominance colour space is related to RGB space linearly. It is composed of one luminance component and two chrominance components. Some examples are YUV and opponent colour spaces. We denote one luminance and two chrominance components as Y, U, and V respectively. An image in RGB space is denoted by z = [zR ,zG , zB] and luminance-chrominance space of the same image is denoted by ζ = [ζY , ζU , ζV ]. ζ = zA it defines the transformation of luminance-chrominance space from RGB in matrix form. They are many reasons for choosing HDR imaging working in luminance-chrominance space. Firstly, better compressibility is offered by decorrelated colour space. The images are stored in luminance-chrominance space in image compression techniques. So, it is more efficient to compose the HDR image directly in the same colour space. Then the resultant HDR image is better suited for compression and can be mapped with RGB during the tone mapping stage to display. If an image is compressed using