Photography

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Photography Artist Statement Examples

High Dynamic Range Image

Example
Photographs
4 stops
2 stops
Two stops
4 stops
Merged to HDR LDR is reduced to
simple contrast reduction
local tone mapping
Photography
Main article: The dynamic range # Photo
In photography, dynamic range is measured in differences EV (known cases) between the brightest and darkest parts of the image information View sample that. An increase in VE or stop one is twice the amount of light.
Dynamic range of common devices
Dynamic range of common devices
Device
High
Contrast
LCD Computer
9.5
700:1
Digital SLR Camera (1Dmk2)
11
2048:1
Photographic film
7
128:1
High Dynamic Range photographs are usually obtained by capturing several standard photographs, often using the bracketing of exposure, then merge into an HDR image. Digital photos are encoded in a machine camera RAW image format, JPEG because the range of 8-bit encryption can videos dynamic chamber (and also introduces undesirable effects due to lossy compression).
Any device that allows manual over-or under-exposure a photo can be used to create HDR images.
Some devices have an automatic exposure bracketing (AEB) have a much more dynamic than others, EV 3 Canon EOS 40D, Canon 18 VS II EOS-1D Mark.
Pentax Digital SLR K-7 is HDR, which allows you to capture an HDR image, the output (only) a tone JPEG assigned.
Dynamic range ISO setting of each of the 1Dmk2
ISO
Dynamic Range (Case)
50
11.3
100
11.6
200
11.5
400
11.2
800
10.7
1600
9.7
3200
8.7
Mathematics
Contrast Ratio = 2 (unlike EV)
EV = log2 difference (contrast ratio)
The fact that an increase of 1 eV indicates a doubling of resources that the light is often represented EV-2 level base logarithmic.
The human perception of brightness is well approximated by a power law of Steven, who, within a reasonable distance is close to logarithmic, so as described by law Weberechner, which is one reason that measures the intensity of light are often used logarithmic.
Representative HDR images on LDR displays
Contrast reduction
HDR images can be represented in common LDR devices as computer monitors and photographic prints, simply reducing the contrast, like all image editing software can do.
Trim and dynamic range compression
The high dynamic range scenes are often represented in LDR devices by the dynamics of large crops, cut darkest and brightest of the details, or a conversion of S-curve, which compresses In contrast progressively and more aggressively in the lights and shadows, leaving the middle portion of contrast ratio relatively unaffected.
An example of representation a HDRI image tone mapped in an urban landscape of New York City night.
Tone Mapping
Main article: tone mapping
set the tone reduces the dynamic range or contrast ratio of the entire image, while preserving contrast localized (between neighboring pixels), writing in research about how the human eye and visual cortex perceives a scene, trying to represent the entire dynamic range, keeping color and contrast.
The image processing maps Sound also have their distribution more compressed space, creating a surreal representation of a low dynamic range high dynamic range scene.
Comparison with traditional digital images
Information stored in high dynamic range images usually corresponds to the physical values luminance or brightness that is observed in the real world. This is different from traditional digital images, which represent the colors that should appear on a monitor or a printed copy. Therefore, HDR image formats are often called "referred scene" contrary to traditional digital images that are "the comments of the device" and "established." Furthermore, traditional images are usually encoded for the human visual system (maximizing the visual information stored in the number fixed bits), usually known as gamma encoding "or gamma correction. The values stored for HDR images are compressed gamma (power law), or logarithmic code or floating point linear values, as fixed-point linear encoders are increasingly ineffective Thread dynamic ranges.
imagery HDR often use a larger number of bits per color channel to represent the traditional image of many colors in a wider dynamic range. 16-bit ("precision media ") or floating point numbers of 32-bit section is often used to represent pixels HDR. But when the appropriate transfer function is used, pixels HDR for some applications can be represented with a minimum of 1012 bits for luminance and chrominance 8-bit quantization without introducing visible artifacts.
History HDR Photography
1850
The idea of using multiple exposures to establish a range of luminance too extreme began in the 1850s by Gustave Le Gray marine display, both the sky and sea That was the time made it impossible using standard techniques, the range of brightness is too extreme. Le Gray used a unfavorable for the sky, and one with a longer exposure to the sea, and the two combined into a single image into a positive.
1930
imaging high dynamic range was originally developed in the 1930s and 1940s by Charles Wyckoff. detailed images of Wyckoff nuclear explosions appeared on the cover of Life magazine in 1940s. Wyckoff your neighborhood reallocation of combining the various layers of the exposed film into a single image of the greater dynamic range.
1980
Convenience Human Development has been recognized for decades, but its use has spread, until recently, excluded by the limits imposed by the computational power available. Probably the first practical application of HDRI was by the film industry in the 1980s and in 1985, Gregory Ward created the image file format RGBE Radiance was the first (And still most commonly used) HDR image file format.
Wyckoff tone of the neighborhood concept mapping has been applied to video cameras by a group of Technion in Israel, have been by Prof. YYZeevi has filed a patent on this concept in 1988. In 1993, the first medical trade was introduced which has made several real-time capture images with different exposures, and produce a video image HDR.
Modern HDR images using a completely different approach, based on a wide dynamic range or brightness of light by using the card only transactions of the general situation (through the entire image), then tone mapping the result. The HDR was created in 1993 as a result of a mathematical theory of the photographs displayed differently with the same material that was published in 1995 by Steve Mann and Rosalind Picard. In 1997, the HDR-technical general combining multiple images are displayed differently to produce an HDR image was presented to the graphics community by Paul Debevec.
This method has been developed to produce a high dynamic range image of a set of photographs taken with a series of exhibitions. With the growing popularity of digital cameras and desktop software easy to use HDR term is now commonly used to describe this process. This technique is composed of different (and can be more or less quality) producing an image of a single exposure of a sensor that has a native high dynamic range. Tone mapping is also used to display HDR images on devices with a low native dynamic range, such as a computer screen.
1996
Steve Mann has developed and patented the global-HDR method to produce digital images with extended dynamic range at the MIT Media Lab. method of Mann is involved in a two-step procedure: (a) generating an image image only floating point operations by the overall image itself (operations which affect all pixels in the same way, regardless of neighborhood), then (2) to convert the image to image, using a treatment area (location, etc) in an HDR image. Table of the image generated by the first phase of Mann called "image Lightspace, Lightspace image, or a map of radiation. Another advantage of the global HDR images, is that it allows access to light or intermediate Map of radiation, which has been used for computer vision and other image processing operations.
1997
In 1997, this technique combine several Images are displayed differently to produce a single HDR image was presented to the public by Paul Debevec.
2005
A tone mapped HDR photo service taken in Ithaca, New York
Photoshop CS2 introduced the HDR merge function.
In many ways, the HDR feature in Photoshop CS2 is the Holy Grail of dynamic range. With well shot and converted the files that allows photographers to easily create images previously impossible or at least very difficult to achieve. But, good as is, as a gun or nuclear energy, can be a force for evil as well.
Not every image should have 10 to 15 stops dynamic range. In fact, most of the pictures look great, thank you very much, with the 5-7 decisions of the dynamic range that are used to. I hope to see some really stupid if not downright ugly images in the coming months, when the photographers get your copy of Photoshop CS2 and begin to discover what the HDR function is capable of.
But, as with all these tools [sic] in the hands of skilled artists and craftsmen sensitive, I'm sure you will start to be shown to world in the new and exciting.
Michael Reichmann, luminous landscape
Video
Until recently, there was no "pure" examples of the basis of filmmaking HDR, because the effects are most commonly used in sequence, formed in the films. However, with the advent of low cost digital cameras, many Fans began to show their assigned HDR timelapse videos on the Internet. In 2008, Mobius / Quark films of "Silicon Valley Timelapse", he said that films almost 1.1 million executives HDR tone mapped, making it the largest source of HDR images available to date allocated. [Edit]
See also
Methods
Delivers high performance
Wide dynamic range
File Formats
Comparison of graphics file formats
Radiance RGBE image format. Human Development Report
OpenEXR. EXR
Logluv TIFF. Tiff
FB unified color. FB
Color scRGB
Software
See Human Development Report (Software)
Radiance – Software rendering HDR (Free)
HyperShot – HDR rendering software
CinePaint – source software open HDR image editing, GIMP fork 1998
Unified color HDR HDR PhotoStudio Advanced Imaging software
Highlight range
Photomatix Pro (MacOSX, Win32, 99 USD, with watermark free trial)
HDR SilverFast HDR Studio / 48 bits per pixel of image processing software
Hugin – Open Source Software and the creation of HDR merging panoramic images (Linux, MacOSX, Unix, Windows, -2 + free GPL)
Dynamic Photo HDR (MacOSX, Win32, $ 55; probationary period)
References
^ Reinhard, Erik Ward, Greg; Pattanaik, Sumanta; Debevec, Paul (2006). High Dynamic Imaging: Acquisition, Display and image-based lighting. Amsterdam: Elsevier Morgan Kaufmann /. P. 7. ISBN 978-0-12-585263-0. "The images that store a representation of the scene in a range of intensities in relation to what the scene is called HDR, or gloss card. Furthermore, we call appropriate images for display with LDR display technology in progress. "
^ Cohen, Jonathan Chu, and Chris Hawkins, Tim and Debevec, Paul E. (2001). Jacob and Steven Görtler Karol Myszkowski. ed. Time Textures real Dynammic high mountains. Proceedings of Eurographics Workshop on behalf of 12 Technology (Springer) 313 320. ISBN 3-211-83709-4.
^ Vonikakis and Vassilios Andreadis Ioannis (2008). "Fast and automatic compensation of virtue and Exposure image regions as well." Domingo Mery and Luis Rueda. Advances in image and technology Video: Second Pacific Rim Symposium, PSIVT 2007, Santiago de Chile, 17 to 19 December 2007. P. 510. ISBN 9783540771289. http://books.google.com/books?id=vkNfw8SsU3oC&pg=PA510&dq=hdr+sdr+ "Standard dynamic range + +" & ei = v = gqe6Svq0IZfGM7KehMYP # q = & DTS onepage dynamic range HDR standard "& f = false.
Clark RN ^ ab. "Digital cinema summary report. Http://www.clarkvision.com/imagedetail/film.vs.digital.summary1/index.html. Retrieved on 28/02/2010.
^ "Automatic exposure camera models. Http://hdr-photography.com/aeb.html. Retrieved on August 18, 2009.
^ "The Pentax K-7: The era of the camera in High Dynamic Range Imaging is here. "http://www.adorama.com/alc/blogarticle/11608. Accessed August 18, 2009.
^ RN Clark. "Procedures to evaluate the noise of digital camera sensor, dynamic range and very good abilities, Canon 1D Mark II Analysis. Http: / / www.clarkvision.com/imagedetail/evaluation-1d2/index.html. Retrieved 21/08/2009.
^ Stevens Stanley Smith Stevens and Geraldine (1986). Psychophysics: Introduction to the prospects of perception, nerves, and social. Transaction Publishers. pp. 208 209. ISBN 9780887386435. v = # http://books.google.com/books?id=r5JOHlXX8bgC&pg=PA208&dq=eye+logarithmic+power-law&lr=&as_brr=3&ei=TSyOSqTWHIuWlQS2sZG5Bw & Q = eye onepage power law log & f = false.
^ Vernon B. Mountcastle (2005). The Sensory Hand: Neural mechanisms of somatic sensation. Harvard University Press. pp. 1617. ISBN 9780674019744. v = # http://books.google.com/books?id=WOmqKSheygYC&pg=PA17&dq=logarithmic+weber-fechner&lr=&as_brr=3&ei=9DKOSrTaHJCqkASHxZShBw onepage & q = logarithmic Weber-Fechner & f = false.
^ Leslie Stroebel and Richard D. Zakia (1995). The Focal Encyclopedia of Photography (3rd ed.). Focal Press. P. 465. ISBN 9780240514178. v = # http://books.google.com/books?id=CU7-2ZLGFpYC&pg=PA465&dq=logarithmically+light+nearly&lr=&as_brr=3&ei=UjSOSouBEKWQkAT12-GmBw light onepage & q = f = false log close.
Ab ^ Greg Ward Anyhere Software. "High Dynamic Range Image Encodings." http://www.anyhere.com/gward/hdrenc/hdr_encodings.html.
^ "The RADIANCE image file format. Http://radsite.lbl.gov/radiance/refer/Notes/picture_format.html. Retrieved on 21/08/2009.
^ Fernando, Randima (2004). "The values of the pixels 26.5" linear. GPU Gems. Boston: Addison-Wesley. ISBN 0321228324. http://http.developer.nvidia.com/GPUGems/gpugems_ch26.html.
^ Max Planck Institute for Informatics. "The perception on the grounds of High Dynamic Range Video Encoding. Http://www.mpi-sb.mpg.de/resources/hdrvideo/.
^ J. Paul Getty Museum. Gustave Le Gray, the photographer. July 9, 1929 September 2002. Retrieved on September 14, 2008.
U.S. patent application 5144442 ^ Ginosar, R. Hilsenrath, O., Zeevi, Y., "high dynamic range camera," published 01/09/1992
^ Technion – Israel Institute of Technology (1993). sensitivity adjustment. http://visl.technion.ac.il/research/isight/AS/.
^ "The composition of several images of the same scene," by Steve Mann, IS & T 46th Annual Conference in Cambridge, Massachusetts, 9 to May 14, 1993
^ SR W. Mann Picard. "Being ndigital With digital cameras: Extend the dynamic range by combining differently exposed photos. Http: / / citeseer.ist.psu.edu/mann95being.html.
AB ^ U.S. Patent 5828793, Steve Mann, "Method and apparatus for producing digital images with greater dynamic range, "published 27/10/1998
^ AB "Combine with HDR in Photoshop CS2. Http: / / www.luminous-landscape.com/tutorials/hdr.shtml. Retrieved on 27/08/2009.
^ "Frequently Asked Questions CinePaint. http://www.cinepaint.org/faq.html. Retrieved on 31/08/2009.
References
Wikimedia Commons has media related to HDR tone-mapped images
101 HDR imaging
Luminance HDR / free software to create images Qtpfsgui HDR
v, d, e
alternative photography
Cross Processing Polaroid Pinhole Lomography redscales Bleach Art Solarize about multiple exposure HDR Fisheye infrared
v, d, e
Photography
Technical Terms
Opening angle of view Circle of confusion depth temperature color depth of field of interest of exposure Exposure compensation F-number Film speed Film format measuring mode focal length distortion hyperfocal distance Perspective Drawing Photography Photography photographic process of reciprocity Science redeye photography Shutter speed Zone system
Genres
Cloudscape commercial airline in black and white documentary fashion erotic Fine art Forensic Glamour Landscape Nature Nude Photojournalism Pornography high-speed post-mortem portrait Senior Social Documentary Sports Stock Street Vernacular of the dead wildlife underwater wedding
Techniques
Blueprint afocal photography bokeh Contre-jour Cross processing complete film developing Fireworks Harris Shutter Kite Flash aerial Macro Night Panoramic Panning Photogram multiple exposure (Kirlian) Print toning rephotography Sabatier Effect Stereoscopy print roll off ultraviolet infrared Sun Down Tilt-Shift Time-Lapse
Composition
Geometry and symmetry Framing Lead room height to the rule of thirds Simplicity
Team
The camera (SLR Rangefinder TLR Pinhole Toy Show Always) darkroom (enlarger lens Safelight) Film (Base Format Holder actions) Filter Flash Manufacturers film projectors Slide projector Tripod Zone plate
History
Blueprint Dufaycolor Autochrome Lumire Calotype line Daguerreotype time photographic technology
Digital Photography
Digital camera (digital SLR D-backs) to share digital photos and movies from the image sensor (CCD CMOS APS-CCD Foveon X3 triple) pixel Film Scanner
Color
Color Management Color (RGB primary color space CMYK) color film (slides print)
photographic processing
C-41 transformation of the Cross for developers dye coupling process E-6 Push Fit Stop bath process K-14
Other topics
Analog Photography Digiscoping Camera Obscura gelatin silver process Gum printing Holography Lomography Photography and museums and picture galleries of the law (category) Print permanence Vignetting Visual arts
List of photographers List of photographs more expensive WikiProject Portal
v, d, e
Display Technology
Video
The current generation
electroluminescent display (ELD) Display fluorescent (VFD) light emitting diode (LED) Display Cathode Ray Tube (CRT) display (LCD) (TFT backlit) plasma display (PDP) processing 3LCD Digital Light (DLP), liquid crystal on silicon (LCOS)
next generation
Organic light-emitting diode displays (OLED) (roll-up of phosphorus TFT) surface conduction electron emitter display (SED), field emission display (FED) Laser LCD TV Ferro (LDF) interferometric modulator display (IMOD) thick film dielectric electroluminescent (tDel) quantum dot nanocrystals display (QDLED) Time Multiplexed Optical Shutter (TMOS) telescopic pixel (TPD) laser LCD (LCL) Phosphorus Laser Display (LPD)
No Video
Electromechanical (Flip-dot-Split flap Vane) Electronic paper Eggcrate Nixie tube roller
3D Visualization
Computer generated stereoscopic autostereoscopic volumetric laser holography
Static media
Hologram film projector slide projector neon transparency Rollsign
References
Examples of screen displays free television optimal space to view wide screen HDTV image technology distance High Dynamic Range (HDRI)
Technology Comparison Screen
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