Recovering high dynamic range radiance maps from photographs
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Limits on Super-Resolution and How to Break Them
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol.2)-Volume 2 - Volume 2
Reconstruction of a High Dynamic Range and High Resolution Image from a Multisampled Image Sequence
ICIAP '07 Proceedings of the 14th International Conference on Image Analysis and Processing
Extraction of high-resolution frames from video sequences
IEEE Transactions on Image Processing
A computationally efficient superresolution image reconstruction algorithm
IEEE Transactions on Image Processing
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In this research, we propose a method to reconstruct image of high resolution and high dynamic range from small number of low resolution images with some saturated pixels. In this method the low resolution images are captured with different exposure times and at different positions and the high resolution image is created with reconstruction based super resolution processing. The position of the CCD sensor in the camera is controlled by a piezo actuator and at each capturing position the exposure time is also controlled in specific arrangement. And in the reconstruction method a high resolution image is recursively updated by comparing simulated low resolution images which are created from high resolution image with assumed optical degradation and its exposure time and the captured images. In this paper we first describe how to capture the low resolution images and how to create high resolution image from images which have some saturated pixels and next show the evaluation of the result image created from real captured images.