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The present work aims at improving the image quality of low-cost cameras based on multiple exposures, machine learning, and a perceptual quality measure. The particular implementation consists of two cameras, one being a high-quality DSLR, the other part of a cell phone. The cameras are connected via USB. Since the system is designed to take many exposures(More)
When editing images it is often desirable to apply a filter with a spatially varying strength. With the usual selection tools like gradient, lasso, brush, or quick selection tools, creating masks containing such spatially varying strength values is time-consuming and cumbersome. We present an interactive filtering approach which allows to process photos(More)
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