树莓派_HDR 使用 Raspberry Pi 相机创建 HDR 图像的自动化脚本

High Dynamic Range (HDR) imaging is a very active area of research today. It uses the advances of digital image processing as its foundation. It is used in camera design, software image processing, digital graphic arts and making movies. Everywhere we turn we see that HDR imaging is replacing conventional photography. If we want to understand HDR imaging we need an interdisciplinary approach that incorporates the many ways of making images. Further, we need to understand exactly what we mean by conventional photography. This text starts with the history of painting and presents an integrated view of the arts, image science, and technology leading to today's HDR. It ends with a discussion of possibilities for the future.

matlab 美白代码 image SDR-to-HDR 图像SDR to HDR，目标：暗光区域->光照增强，过曝光区域->光照减弱 其中暗光照增强的MATLAB实现主要参考北大学者的论文与开源工程 北大学者github： 参考论文： A Bio-Inspired Multi-Exposure Fusion Framework for Low-light Image Enhancement A New Image Contrast Enhancement Algorithm using Exposure Fusion Framework A New Low-Light Image Enhancement Algorithm using Camera Response Model 原论文创新点：只对缺失光照的地方进行补光增强，而其他光照良好的地方不会增强，从而使得整张图更清晰 原论文有待优化之处（个人拙见）：原方法处理了低光照区域和光照良好区域，但过曝光的区域仍然不清晰，还可以对过曝光区域进行降光处理 该项目则基于原方法，在暗光区域做光照增强，在过曝光区域做光照减弱。 需要环境:MAT

2018年出版的HDR领域经典教材，全面介绍了HDR的原理、算法和应用，以及matlab中的HDR工具箱的使用。

用于多帧不同曝光的图像融合

用于HDR图像去鬼影

HDR图像压缩算法比较研究 论文.