This paper presents techniques for enhancing low-light digital photographs by combining flash and no-flash image pairs. The authors describe how flash images capture high-frequency details but alter the scene's appearance, while no-flash images preserve the ambient lighting but are noisy. They propose methods to merge the strengths of both images, including denoising the no-flash image using the flash image, transferring high-frequency details from the flash image to the no-flash image, white-balancing the ambient image, adjusting flash intensity continuously, and correcting red-eye artifacts. The paper discusses the background of camera noise, the acquisition procedure for image pairs, and detailed algorithms for denoising and detail transfer. It also covers white balancing, continuous flash adjustment, and red-eye correction, highlighting the benefits of using flash/no-flash pairs to produce higher quality images. The authors conclude that these techniques can significantly improve image quality and suggest future work in optimizing algorithms and exploring new lighting methods like infrared flash.This paper presents techniques for enhancing low-light digital photographs by combining flash and no-flash image pairs. The authors describe how flash images capture high-frequency details but alter the scene's appearance, while no-flash images preserve the ambient lighting but are noisy. They propose methods to merge the strengths of both images, including denoising the no-flash image using the flash image, transferring high-frequency details from the flash image to the no-flash image, white-balancing the ambient image, adjusting flash intensity continuously, and correcting red-eye artifacts. The paper discusses the background of camera noise, the acquisition procedure for image pairs, and detailed algorithms for denoising and detail transfer. It also covers white balancing, continuous flash adjustment, and red-eye correction, highlighting the benefits of using flash/no-flash pairs to produce higher quality images. The authors conclude that these techniques can significantly improve image quality and suggest future work in optimizing algorithms and exploring new lighting methods like infrared flash.