Wolfgang Heidrich

TL;DR: This paper develops a stochastic optimization method for blind deconvolution that uses only efficient local evaluation of the objective function, and demonstrates that this framework, in combination with different image priors produces results with Peak Signal-to-Noise Ratio values that match or exceed the results obtained by much more complex state-of-the-art blind motion deblurring algorithms.

TL;DR: A parameter-fitting algorithm is presented that recovers the parameters from a large set of sound recordings around objects and creates a continuous timbre field by interpolation that is rendered in a real-time simulation with integrated haptic, graphic, and audio display.

TL;DR: A combination of sensor mechanisms and algorithms that reduce luminance and color variation for both HDR and conventional displays even with the use of highly variable light elements are described.

TL;DR: This work approximate the analytical solution to the ray tracing problem by means of a Taylor expansion in the ray parameters, which enables a construction‐kit approach to complex optical systems in the spirit of matrix optics, and allows for efficient execution on CPU and GPU alike.

TL;DR: A number of perceptually motivated algorithms including contrast enhancement and reduction, object highlighting for preattentive emphasis, colour saturation, de‐saturation and de‐metamerization, as well as visual enhancement for the colour blind are demonstrated.