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Introduction

High dynamic range (HDR) digital imaging systems increase visual fidelity by integrating contrast ratio with observer-based models of color perception across multiple exposures of a single scene. They use mathematical transformations known as tone mapping operators to display HDR images on low dynamic range (LDR) devices such as monitors.

We will uses a series of photographs of a scene to produce an image that is as close as possible to what the human eye would see. To turn a photograph into an HDR image, we first extract the radiance information from the photographs and then tone-map it into a single LDR image. Both the reconstruction and tone mapping algorithms rely on matrix operations so we will implement in MATLAB.

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