We will focus on their use in image-based lighting, specifically relighting virtual objects. HDR images are widely used by graphics and visual effects artists for a variety of applications, such as contrast enhancement, hyper-realistic art, post-process intensity adjustments, and image-based lighting. Most methods for creating HDR images involve the process of merging multiple LDR images at varying exposures, which is what you will do in this project. they store pixel values outside of the standard LDR range of 0-255 and contain higher precision). HDR photography is the method of capturing photographs containing a greater dynamic range than what normal photographs contain (i.e. HDR tonemapping can also be investigated as bells and whistles.
#HDR PROJECTS STANDARD HOW TO#
By the end of this project, you will be able to create HDR images from sequences of low dynamic range (LDR) images and also learn how to composite 3D models seamlessly into photographs using image-based lighting techniques. The goal of this project is to familiarize yourself high dynamic range (HDR) imaging, image based lighting (IBL), and their applications. Programming Project #4: Image-Based LightingĬS445: Computational Photography Note: This is an individual project you can NOT work collaboratively to generate the solutions.
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