Advanced High Dynamic Range Imaging: Theory and Practice by Francesco Banterle

By Francesco Banterle

Imaging suggestions search to simulate the array of sunshine that reaches our eyes to supply the semblance of sensing scenes without delay. either images and special effects care for the iteration of pictures. either disciplines need to take care of the excessive dynamic diversity within the power of noticeable mild that human eyes can feel.

Traditionally images and special effects took various ways to the excessive dynamic variety challenge. paintings during the last ten years although has unified those disciplines and created robust new instruments for the construction of advanced, compelling and sensible photos. This e-book offers a realistic advent to the rising new self-discipline of excessive dynamic variety imaging that mixes images and special effects. by way of supplying distinctive equations and code, the e-book provides the reader the instruments had to test with new ideas for growing compelling photos.

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655 2 for x ≤ 100 cd/m , otherwise. 6) Finally, m is the adaptation-dependent scaling term, which prevents anomalous gray night images. 7) where Cmax is the maximum contrast of the display. This operator compresses HDR images, preserving brightness and producing plausible results when calibrated luminance values are available. 5)). 3 shows some results. 6 provides the Matlab code of Tumblin and Rushmeier’s operator [202]. m. 42 3. 3. An example of Tumblin and Rushmeier’s operator [202] applied to the Bottles HDR image.

1. 1. Matlab Code: Combining multiple LDR exposures. 1 shows Matlab code for combining multiple LDR exposures into a single HDR. m. The function accepts as input format, an LDR format for reading LDR images. 2, and ‘tabledDeb97’, which would employ the Debevec and Malik method described above. Finally, the type of weight weight type can also be input. The resulting HDR image is output. After handling the input parameters, the function ReadLDRStack inputs the images from the current directory. The code block in the case statement case ‘tabledDeb97’ handles the linearization using the Debevec and Malik’s method outlined previously.

This display technology did have some issues to solve before becoming a fully fledged consumer product. The first was the quality. While the dynamic range was increased, the image quality was reduced, having a lower back-modulated resolution than the projector technology. The second issue was that the LEDs, which are very expensive, consume a lot of power (1,680 W) and require cooling. The heat dissipation is carried out using fans and a liquid-based system, but this results in quite a lot of noise.

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