Improving image quality by capturing high dynamic range (HDR) in a scene remains a technological challenge for CMOS sensors. The multi partial reset is a simple technique that allows a sensor to capture HDR inexpensively with high frame rate, low noise floor, and high signal to noise ratio. However, it flattens images due to compression of highlights, rending it useful only for machine vision and automotive applications. In this work, we present an inverse function that restores HDR image appearance specifically for a multi partial reset sensor (MPRS). This function can be applied in software or firmware before demosaicing. Results show that the function automatically enliven images with more depth and saturation that suit general purpose photography. Moreover, latency results show that it can be applied for real-time videography of high frame rate. These results would be computationally much more expensive to achieve using general image enhancement techniques, i.e. not specific to MPRS, especially for high definition, high frame rate, real-time video.