One of the biggest and challenging limitations of infrared cameras in surveillance applications is the limited dynamic range. Image blooming and other artifacts may hide important details in the scene when saturation occurs. Many different techniques such as using multiple exposure times have been developed in the past to help overcome these issues. However all these techniques feature non-negligible limitations. This paper presents a new high-dynamic range algorithm called Optimized Enhanced High Dynamic Range Imaging (OEHDRI). It is based on a pixel-wise exposure-time independent calibration as well as a pixel based frame summing with proper interleaved integration times. This technique benefits from the use of a high frame rate camera (< 20,000 fps). Description of the hardware is also included.