Super-Resolution Reconstruction from Differently Exposed Images

B.K. Gunturk (USA)


Super-resolution reconstruction, dynamic range, cameraresponse function.


The process of reconstructing a high-resolution image from multiple low-resolution images is known as super resolution reconstruction. Although super-resolution re construction has been studied extensively, almost all the proposed algorithms assume that camera settings (such as exposure time and aperture size) are fixed for all measure ments. In fact, sensors have a nonlinear response to the quantity of light received and have limited dynamic range, and the camera settings are adjusted automatically or need to be adjusted manually to capture the desired portion of the scene's dynamic range. In this paper, we propose a super-resolution algorithm based on an imaging model that includes camera response function, exposure time, sensor noise and quantization error in addition to spatial blurring and sampling.

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