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Demonstrated for a digital image sensor based camera is a calibration targetoptimized method for finding the Camera Response Function (CRF). The proposedmethod uses localized known target zone pixel outputs spatial averaging andhistogram analysis for saturated pixel detection. Using the proposed CRFgeneration method with a 87 dB High Dynamic Range (HDR) silicon CMOS imagesensor camera viewing a 90 dB HDR calibration target, experimentally producedis a non-linear CRF with a limited 40 dB linear CRF zone. Next, a 78 dB testtarget is deployed to test the camera with this measured CRF and its restricted40 dB zone. By engaging the proposed minimal exposures, weighting free,multi-exposure imaging method with 2 images, demonstrated is a highly robustrecovery of the test target. In addition, the 78 dB test target recovery with16 individual DR value patches stays robust over a factor of 20 change in testtarget illumination lighting. In comparison, a non-robust test target imagerecovery is produced by 5 leading prior-art multi-exposure HDR recoveryalgorithms using 16 images having 16 different exposure times, with eachconsecutive image having a sensor dwell time increasing by a factor of 2.Further validation of the proposed HDR image recovery method is provided usingtwo additional experiments, the first using a 78 dB calibrated target combinedwith a natural indoor scene to form a hybrid design target and a secondexperiment using an uncalibrated indoor natural scene. The proposed techniqueapplies to all digital image sensor based cameras having exposure time andillumination controls. In addition, the proposed methods apply to varioussensor technologies, spectral bands, and imaging applications.

Calibration based Minimalistic Multi-Exposure Digital Sensor Camera Robust Linear High Dynamic Range Enhancement Technique Demonstration