Photographic Tone Reproduction for Digital Images

Photographic Tone Reproduction for Digital Images

2002 | Erik Reinhard, Michael Stark, Peter Shirley, James Ferwerda
The paper presents a new tone reproduction algorithm for digital images, inspired by traditional photographic practices, particularly the Zone System developed by Ansel Adams. The algorithm aims to map high dynamic range (HDR) scenes to low dynamic range (LDR) displays or screens, addressing the challenge of preserving detail in both low and high contrast areas. The method involves initial luminance mapping using a scaling technique based on the scene's key value, followed by automatic dodging-and-burning to locally adjust exposure. The algorithm is designed to be simple and effective, producing satisfactory results for a wide range of images, including those with very high dynamic range. The authors compare their method with several existing tone mapping operators, demonstrating its superior performance in handling challenging images. The paper also discusses the computational efficiency and implementation details of the algorithm, showing that it can achieve real-time performance for 512x512 images.The paper presents a new tone reproduction algorithm for digital images, inspired by traditional photographic practices, particularly the Zone System developed by Ansel Adams. The algorithm aims to map high dynamic range (HDR) scenes to low dynamic range (LDR) displays or screens, addressing the challenge of preserving detail in both low and high contrast areas. The method involves initial luminance mapping using a scaling technique based on the scene's key value, followed by automatic dodging-and-burning to locally adjust exposure. The algorithm is designed to be simple and effective, producing satisfactory results for a wide range of images, including those with very high dynamic range. The authors compare their method with several existing tone mapping operators, demonstrating its superior performance in handling challenging images. The paper also discusses the computational efficiency and implementation details of the algorithm, showing that it can achieve real-time performance for 512x512 images.
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Understanding Photographic tone reproduction for digital images