This paper presents a new tone reproduction algorithm for digital images, inspired by photographic practices, particularly the Zone System developed by Ansel Adams. The algorithm aims to map the high dynamic range of real-world luminances to the lower dynamic range of display devices, ensuring visually pleasing results. The approach leverages the Zone System's principles, which categorize scene luminances into zones and guide the mapping to print zones. The algorithm first scales the luminance based on the scene's key value (light, normal, or dark), then applies automatic dodging-and-burning to compress the dynamic range. Dodging-and-burning is implemented using a local adaptation method that determines the appropriate scale for each pixel based on local contrast. This allows for localized adjustments to the display luminance, enhancing contrast and preserving detail. The algorithm is tested on various images with different dynamic ranges, demonstrating its effectiveness in producing satisfactory results. The method is efficient and can be applied to both global and local tone mapping, providing a balance between performance and quality. The results show that the algorithm outperforms other tone mapping techniques in preserving detail and enhancing contrast, particularly in high dynamic range images. The paper also discusses the challenges of tone reproduction in digital images and highlights the importance of considering scene content, image medium, and viewing conditions. The algorithm is implemented in C++ and tested on images with varying dynamic ranges, showing its versatility and effectiveness. The results demonstrate that the algorithm produces visually pleasing images while maintaining a balance between performance and quality.This paper presents a new tone reproduction algorithm for digital images, inspired by photographic practices, particularly the Zone System developed by Ansel Adams. The algorithm aims to map the high dynamic range of real-world luminances to the lower dynamic range of display devices, ensuring visually pleasing results. The approach leverages the Zone System's principles, which categorize scene luminances into zones and guide the mapping to print zones. The algorithm first scales the luminance based on the scene's key value (light, normal, or dark), then applies automatic dodging-and-burning to compress the dynamic range. Dodging-and-burning is implemented using a local adaptation method that determines the appropriate scale for each pixel based on local contrast. This allows for localized adjustments to the display luminance, enhancing contrast and preserving detail. The algorithm is tested on various images with different dynamic ranges, demonstrating its effectiveness in producing satisfactory results. The method is efficient and can be applied to both global and local tone mapping, providing a balance between performance and quality. The results show that the algorithm outperforms other tone mapping techniques in preserving detail and enhancing contrast, particularly in high dynamic range images. The paper also discusses the challenges of tone reproduction in digital images and highlights the importance of considering scene content, image medium, and viewing conditions. The algorithm is implemented in C++ and tested on images with varying dynamic ranges, showing its versatility and effectiveness. The results demonstrate that the algorithm produces visually pleasing images while maintaining a balance between performance and quality.