Francesco Banterle's Advanced High Dynamic Range Imaging: Theory and Practice PDF

By Francesco Banterle

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

Traditionally images and special effects took varied methods to the excessive dynamic diversity challenge. paintings during the last ten years although has unified those disciplines and created strong new instruments for the construction of advanced, compelling and reasonable pictures. This booklet presents a pragmatic advent to the rising new self-discipline of excessive dynamic diversity imaging that mixes images and special effects. by way of supplying certain equations and code, the ebook provides the reader the instruments had to test with new concepts for developing compelling photos.

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It is capable of capturing high dynamic range content at 512 × 896 resolution, 25 fps, and a dynamic range of 1,000,000 to 1. The main disadvantage is that the video camera uses three separate CCD sensors, one for each of the three color primaries (RGB), and it has the problem that for rapid scene motion, artifacts such as motion blur may appear. In addition, due to the limitations of the internal antireflex coating in the lens, system flare and glare artifacts can also appear. 4). The HDR video data stream is initially recorded on an HDD array.

3. 1. The taxonomy of TMOs, which are divided based on their image processing techniques and their f . Superscript T means that the operator is temporal and suitable for HDR video content. 2 for a clarification of the key. 2. 1. 36 3. Tone Mapping • Segmentation operators. The image is segmented in broad regions, and a different mapping is applied to each region. • Frequency/Gradient operators. Low and high frequencies of the images are separated. While an operator is applied to the low frequencies, high frequencies are usually kept as they preserve fine details.

They also proposed three different techniques to compute the average intensity value Lw, avg (x) (for more details refer to [189]). This nonuniform process is justified by the fact that the human eye moves continuously from one point to another in an image. 4. An example of quantization techniques applied to the Stanford Memorial Church HDR image. 9). 33. 66. 99. 2. 5. Log-plot of the quantization techniques applied to the Stanford Memorial Church HDR image. a local adaptation and modifies the luminance perception.

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