Converting LDR to HDR Images in Digital Image Processing

In the field of image processing, there exists a specialized program designed to convert Low Dynamic Range (LDR) images into High Dynamic Range (HDR) images. This program employs a sequence of computational operations to enhance the dynamic range and detail preservation of LDR images. The transformation process typically begins with luminance and contrast adjustments through histogram equalization or gamma correction algorithms to optimize the image's brightness distribution. Subsequently, specialized algorithms such as tone expansion operators are applied to extend the color gamut, resulting in richer color representation. The implementation often incorporates noise reduction filters (e.g., bilateral filtering) and defect correction tools to minimize artifacts and imperfections. Finally, the program performs tone mapping using techniques like Reinhard's operator or gradient domain compression, ensuring realistic color reproduction and natural appearance of enhanced details. This comprehensive processing pipeline plays a vital role in image processing by effectively converting LDR images into HDR format while significantly improving image quality and visual impact through systematic algorithmic enhancements.