| Summary: | Cameras cannot capture a single image as good as the eye may see. The human eye can respond to a wide range of light intensities, although not instantaneous, as opposed to a camera whose limited response relies on solid-state image sensors such as charged-coupled devices (CCD) and complementary metal-oxide semiconductors (CMOS).
This report highlights the limitations of digital cameras in capturing a wide range of light intensities. It compares the response function of a camera to the human eye and attempts to simulate it in post-processing. Various methods of improving the dynamic range of images, such as calibrating camera settings, using filters, and post-processing techniques, are discussed. This report explores image post-processing techniques that can enhance the dynamic range of an image by altering its histogram using the Weber-Fechner law, Stevens' power law, and an improved logarithm equation. Following that, this study attempts to adjust a specific range of pixels that contribute to the overexposure of the image.
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