Photometric image processing for high dynamic range displays

Trentacoste, Matthew; Heidrich, Wolfgang; Whitehead, Lorne; Seetzen, Helge; Ward, Greg

doi:10.1016/j.jvcir.2007.06.006

Cited by 19 publications

(10 citation statements)

References 46 publications

(59 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Since the full optimization problem is considered too expensive [Trentacoste et al 2007], it is usually approximated with a greedy heuristic, where the LED values are determined first using simple image processing operators, and the LCD image is then determined by per-pixel division. However, this greedy approach is known to produce a number of artifacts, especially in regions with high spatial frequencies.…”

Section: High Dynamic Range Displaysmentioning

confidence: 99%

Adaptive image synthesis for compressive displays

et al. 2013

Self Cite

View full text Add to dashboard Cite

Figure 1: Adaptive light field synthesis for a dual-layer compressive display. By combining sampling, rendering, and display-specific optimization into a single framework, the proposed algorithm facilitates light field synthesis with significantly reduced computational resources. Redundancy in the light field as well as limitations of display hardware are exploited to generate high-quality reconstructions (center left column) for a high-resolution target light field of 85 × 21 views with 840 × 525 pixels each (center). Our adaptive reconstruction uses only 3.82% of the rays in the full target light field (left column), thus providing significant savings both during rendering and during the computation of the display parameters. The proposed framework allows for higher-resolution light fields, better 3D effects, and perceptually correct animations to be presented on emerging compressive displays (right columns). AbstractRecent years have seen proposals for exciting new computational display technologies that are compressive in the sense that they generate high resolution images or light fields with relatively few display parameters. Image synthesis for these types of displays involves two major tasks: sampling and rendering high-dimensional target imagery, such as light fields or time-varying light fields, as well as optimizing the display parameters to provide a good approximation of the target content.In this paper, we introduce an adaptive optimization framework for compressive displays that generates high quality images and light fields using only a fraction of the total plenoptic samples. We demonstrate the framework for a large set of display technologies, including several types of auto-stereoscopic displays, high dynamic range displays, and high-resolution displays. We achieve significant performance gains, and in some cases are able to process data that would be infeasible with existing methods.

show abstract

Section: High Dynamic Range Displaysmentioning

confidence: 99%

Adaptive image synthesis for compressive displays

et al. 2013

Self Cite

View full text Add to dashboard Cite

show abstract

“…If A can display gray scales only, and B displays colors, then splitting is carried out in luminance space while compensation is processed in RGB space to achieve the desired original colors and intensities (as in [Seetzen et al 2004;Trentacoste et al 2007]). …”

Section: Splitting High Dynamic Range Contentmentioning

confidence: 99%

Superimposing dynamic range

Bimber

Iwai

2008

ACM SIGGRAPH 2008 New Tech Demos

View full text Add to dashboard Cite

Figure 1: Registering a projector precisely to a hardcopy allows extending contrast, perceivable tonal resolution and color space beyond the capabilities of either hardcopy or projector. From left to right: experimental setup and example for achieved registration precision (projected checker on printed checker with a field size of 0.62 mm -or 7 cycles per degree (cpd) at 50 cm viewing distance), low and high exposure photographs of different hardcopies (ePaper display, photographic print, laser print and X-ray print) amplified with LED and DLP projectors. AbstractWe present a simple and cost-efficient way of extending contrast, perceived tonal resolution, and the color space of static hardcopy images, beyond the capabilities of hardcopy devices or low-dynamic range displays alone. A calibrated projector-camera system is applied for automatic registration, scanning and superimposition of hardcopies. We explain how high-dynamic range content can be split for linear devices with different capabilities, how luminance quantization can be optimized with respect to the non-linear response of the human visual system as well as for the discrete nature of the applied modulation devices; and how inverse tone-mapping can be adapted in case only untreated hardcopies and softcopies (such as regular photographs) are available. We believe that our approach has the potential to complement hardcopy-based technologies, such as X-ray prints for filmless imaging, in domains that operate with high quality static image content, like radiology and other medical fields, or astronomy.

show abstract

“…We have used the in-house algorithms developed by Dolby to calculate the desired 8-bit LED and LCD drive levels from the 8-bit input image [14]. The basic principle though, is that the LEDs display a low-frequency image derived from the 8-bit input and the LCD is used to display a high-frequency correction to the LEDs [15]. This idea is illustrated in Fig.…”

Section: Dolby Displaymentioning

confidence: 99%

Comparing Signal Detection Between Novel High-Luminance HDR and Standard Medical LCD Displays

Tisdall

Damberg

Wighton

et al. 2008

J. Display Technol.

Self Cite

View full text Add to dashboard Cite

Abstract-DICOM specifies that digital data values should be linearly mapped to just-noticable differences (JNDs) in luminance. Increasing the number of JNDs available requires increasing the display's dynamic range. However, operating over too wide a range may cause human observers to miss contrast in dark regions due to adaptation to bright areas or, alternatively, miss edges in bright regions due to scattering in the eye. Dolby Inc.'s high dynamic range (HDR) LCD display has a maximum luminance over 2000 cd/m 2 ; bright enough to produce significant in-eye scatter. The display combines a spatially variable backlight producing a low-resolution 8-bit "backlight image" with a high-resolution 8-bit LCD panel, approximating a 16-bit greyscale display. Alternatively, by holding the backlight constant at 800 cd/m 2 , a standard medical LCD display can be simulated.We used two-alternative forced choice (2AFC) signal-detection experiments to quantify display quality. We explored whether the full-power HDR display's optical characteristics (scattering and low resolution backlight) have a negative effect on signal detection in medical images compared with a standard LCD. We used 8-bit test images derived from high-field MRI data combined with synthetic targets and synthetic Rician noise.We suggest signal detection performance with the HDR display is comparable to a standard medical LCD.Index Terms-High dynamic range, high luminicense, medical studies, user studies.

show abstract

Photometric image processing for high dynamic range displays

Cited by 19 publications

References 46 publications

Adaptive image synthesis for compressive displays

Adaptive image synthesis for compressive displays

Superimposing dynamic range

Comparing Signal Detection Between Novel High-Luminance HDR and Standard Medical LCD Displays

Contact Info

Product

Resources

About