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HDR imaging systems are stepping into the multimedia technologies for consumer market.
Specifically, the gradient domain approach has been successfully applied to high dynamic range (HDR) imaging [1], image stitching [2 5], filtering [6], alignment [7], matching [8], etc.
Tap it, and a combination of non-linear adjustment and sharpening produces something that has the feel of being taken by a more expensive camera.And the technique known as high-dynamic range (HDR) imaging combines multiple images taken in rapid succession with different exposures to produce a single composite of extraordinary range of tonality.
We evaluated the noise performance for the HDR imaging application with coded rolling shutter.
This is the captured video for a scene with a person captured by the system for HDR imaging.
Thus, the non-linear characteristics of the VET imaging are suitable for HDR imaging.
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In this work, we capture single shot HDR images using an imaging sensor with spatially varying gain/ISO.
I ′ x,y) obtained from Eq. (6) is an HDR image from the variable exposure time imaging.
In this paper, we proposed a variable exposure time imaging, which can generate HDR images without motion blur efficiently.
Second, we construct a calibrated imaging system for capturing HDR images and render LDR images by the proposed algorithm on a display device and printouts.
In Section 4, the performance of the proposed method is examined in detail on experiments using standard HDR images from a database and real HDR scene images from a calibrated imaging system.
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