High-Dynamic-Range (HDR) Vision by Professor Dr. Bernd Hoefflinger (eds.)

By Professor Dr. Bernd Hoefflinger (eds.)

Creating high-fidelity photographs of our international has been a continuing problem, while our realizing and abilities have developed. the purchase and mapping of the wealthy and complicated content material of visible details rank excessive one of the so much challenging technical initiatives. Now digital photograph sensors can checklist a dynamic diversity from brilliant to darkish of greater than seven orders of importance, hence exceeding the facility of a human eye by means of greater than 100 occasions and exhibiting 5 orders of importance in brightness, leading to CRT and liquid crystal display monitors with greater than 100-fold development. this primary complete account of high-dynamic-range (HDR) imaginative and prescient focusses on HDR real-time, high-speed electronic video recording and in addition systematically provides HDR video transmission and exhibit. the facility of the eye-like, logarithmic optoelectronic conversion notion is confirmed in machine-vision, scientific, car, surveillance and cinematic functions, and it's prolonged to HDR sub-retinal implants for the imaginative and prescient impaired. whereas the publication conveys the final photograph of HDR imaginative and prescient, particular wisdom of microelectronics and photograph processing isn't really required. It offers a quantitative precis of the key concerns to permit the evaluation of the state-of-the-art and a glimpse at destiny advancements. chosen specialists proportion their knowledge and expectancies during this quickly evolving artwork on the topic of the one strongest of our senses.

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Schneider Fig. 17. Left: Scene taken with the HDRC sensor without any fixed-pattern correction. Right: Scene taken with the HDRC sensor with fixed-pattern correction The exposure of the HDRC sensor to optical input with a spatially high dynamic range ratio raises concern about crosstalk between neighboring pixels. 03% of that intensity. These results are satisfactory considering other factors limiting the spatial resolution of image features. 4 Fixed-Pattern Correction of HDR Imagers Due to the production process, each pixel has a different OECF with different parameters.

14). The exponential calculus in these equations 2 The High-Dynamic-Range Sensor 47 Calculation of Parameter Values (only once) Embedded memory Correction parameters Calculation in PC Camera System Sensor data Illumination Phlox Control of illumination Correction of Pixel Values during Run Time Embedded memory Correction parameters Camera System Corrected Image Calculation of Corrected Image repeats after every picture Fig. 31. Process flow of fixed-pattern correction is not problematic as it is performed by a fast computer.

01 Time (s) Fig. 34. Timing diagram for HDRC pixel in the dark reset mode The OECF of the dark HDRC reset mode is shown in Fig. 35(a) in comparison with the OECF of the continuous HDRC mode. As we can see, the output signal range is expanded at low-luminance levels, the conversion function becomes more linear and the contrast sensitivity function (the derivative of the OECF) in Fig. 35(b) is improved in the low-luminance section around 1 lx. For illuminances above 10 lx, the two characteristics are identical as we expect.

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High-Dynamic-Range (HDR) Vision by Professor Dr. Bernd Hoefflinger (eds.)
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