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About 5,226 papers for “Dynamic range compression”

Photographic dynamic range compression

P. Mueller, H. John Caulfield · Applied Optics · 1980

Get PDF Email Share Share with Facebook Tweet This Post on reddit Share with LinkedIn Add to CiteULike Add to Mendeley Add to BibSonomy Get Citation Copy Citation Text Peter F. Mueller and H. J. Caulfield, "Photographic dynamic range compression," Appl. Opt. 19, 4134-4135 (1980) Export Citation BibTex Endnote (RIS) HTML Plain Text Citation alert Save article

Cited by 0

Real-time dynamic range compression

Hua‐Kuang Liu, Li‐Jen Cheng · Annual Meeting Optical Society of America · 1986

The principle of real-time dynamic range compression via the intensity dependence of nonlinear media is discussed. When two optical waves are incident on a nonlinear medium in a geometry similar to that used in a two-wave or four-wave mixing setup, it has been found that the intensity of one wave may be enhanced at the expense of the intensity of the other. Furthermore, the degree of exchange has been found to be both temperature and beam-intensity dependent in certain compound semiconductors. This phenomenon should be applicable to dynamic range compression for optical image processing. Experimental results of the intensity dependence of beam coupling in semi-insulating GaAs are used for the illustration of the principle.

Cited by 1

Nonlinear dynamic range compression deconvolution

Bahareh Haji-saeed, Sandip Sengupta, W. D. Goodhue et al. · Optics Letters · 2006

We introduce a dynamic range image compression technique for nonlinear deconvolution; the impulse response of the distortion function and the noisy distorted image are jointly transformed to pump a clean reference beam in a two-beam coupling arrangement. The Fourier transform of the pumped reference beam contains the deconvolved image and its conjugate. In contrast to standard deconvolution approaches, for which noise can be a limiting factor in the performance, this approach allows the retrieval of distorted signals embedded in a very high-noise environment.

Cited by 8

High dynamic range texture compression

Kimmo Roimela, Tomi Aarnio, Joonas Itäranta · ACM Transactions on Graphics · 2006

We present a novel compression scheme for high dynamic range textures, targeted for hardware implementation. Our method encodes images at a constant 8 bits per pixel, for a compression ratio of 6:1. We demonstrate that our method achieves good visual fidelity, surpassing DXTC texture compression of RGBE data which is the most practical method on existing graphics hardware. The decoding logic for our method is simple enough to be implemented as part of the texture fetch unit in graphics hardware.

Cited by 32

Principles of Digital Dynamic-Range Compression

James M. Kates · Trends in Amplification · 2005

This article provides an overview of dynamic-range compression in digital hearing aids. Digital technology is becoming increasingly common in hearing aids, particularly because of the processing flexibility it offers and the opportunity to create more-effective devices. The focus of the paper is on the algorithms used to build digital compression systems. Of the various approaches that can be used to design a digital hearing aid, this paper considers broadband compression, multi-channel filter banks, a frequency-domain compressor using the FFT, the side-branch design that separates the filtering operation from the frequency analysis, and the frequency-warped version of the side-branch approach that modifies the analysis frequency spacing to more closely match auditory perception. Examples of the compressor frequency resolution, group delay, and compression behavior are provided for the different design approaches.

Cited by 63Open access

Technology Review of Dynamic Range Compression

Christopher Stedman · The Sydney eScholarship Repository (The University of Sydney) · 2012

Compressors and limiters are audio hardware / software devices, which fall under the broader category of dynamics processors. In their various forms, they find use in all aspects of sound production and system engineering. They produce at their output a copy of the input with some level dependent gain attenuation applied. The user typically has some control over the amount of attenuation and the manner in which it is applied. This report will cover the various forms and uses of these devices, along with an investigation of the mathematical basis upon which one may emulate an analogue hardware compressor in a programming environment.

Cited by 0

Digital equalizer with dynamic range compression

Šafer, Radim · Brno University of Technology Digital Library (Brno University of Technology) · 2012

Cílem práce je realizace digitálního ekvalizéru s kompresorem dynamiky. Diplomová práce je zaměřena na srovnání funkcí a parametrů jednotlivých digitálních signálových procesorů, určených výhradně pro zpracování zvukových signálů. Obsahuje podrobný rozbor dílčích bloků pro signálové zpracování v obvodu AD1953 a možnosti ovládání programovatelných parametrů těchto bloků uživatelem. Práce dále obsahuje srovnání vybraných A/D převodníků spolu s popisem zvoleného obvodu UDA1361TS. Také je uvedeno navržené blokové schéma výsledného zařízení. Poté jsou uvedeny možnosti řízení jednotlivých bloků v signálovém procesoru, ovlivňující zpracování signálu. Je zde rovněž představeno výsledné obvodové řešení digitálního ekvalizéru a popis programového vybavení k úspěšnému řízení zpracování signálu v obvodu AD1953. Práce popisuje také konstrukci digitálního ekvalizéru a obsahuje výsledky vybraných měření.

Cited by 0

Binaural model-based dynamic-range compression

Stephan Ernst, Steffen Kortlang, Giso Grimm et al. · International Journal of Audiology · 2018

The suggested binaural synchronisation of compression algorithms showed a limited effect on the tested outcome measures, however, linking could be situationally beneficial to preserve a natural binaural perception of the acoustical environment.

Cited by 6

Compression of High Dynamic Range Video

Simon Ekström · KTH Publication Database DiVA (KTH Royal Institute of Technology) · 2015

For a long time the main interest in the TV-industry has been in increasing the resolution of the video. However, we are getting to a point where there is little benefit in increasing it even further. New technologies are quickly rising as a result of this and High Dynamic Range (HDR) video is one of these. The goal of HDR video is to provide a greater range of luminosity to the end-consumer.~MPEG (Moving Picture Experts Group) wants to know if there is a potential for improvements to the HEVC (High Efficiency Video Coding) standard, specifically for HDR video, and in early 2015 the group issued a Call for Evidence (CfE) to find evidence whether improvements can be made to the existing video coding standard. This work presents the implementation and analysis of three different ideas for suggestions: bit shifting at the coding unit level, histogram-based color value mapping, and modifications to the existing Sample Adaptive Offset (SAO) in-loop filter in HEVC. Out of the three suggestions, the histogram-based color value mapping is shown to provide significant improvements to the coding efficiency, both objectively and subjectively. The thesis concludes the work with a discussion and possible directions for future work.

Cited by 1Open access

Optical dynamic range compression (Conference Presentation)

Yunshan Jiang, Bahram Jalali · 2018

Optical Dynamic range compression (ODRC) is a new nonlinear signal processing concept that reshapes the dynamic range and signal-to-noise ratio. ODRC improves the detection sensitivity by boosting weak signals over the noise floor, while keeping the full-scale the same. Without requiring an optical receiver that has post-amplification or higher resolution, the detectable range is extended. For signals whose amplitude distribution is centered at a low value, ODRC effectively reduces the quantization error by assigning more quantization levels to weak signals, reducing the total number of bits to digitize. In amplifiers cascade, a low-noise ODRC serving as the pre-amplifier would relax the noise figure and linear range requirements of the second amplifier.

Cited by 0

Model-Based Inversion of Dynamic Range Compression

Stanislaw Gorlow, Julia Reiss · IEEE Transactions on Audio Speech and Language Processing · 2013

In this work it is shown how a dynamic nonlinear time-variant operator, such as a dynamic range compressor, can be inverted using an explicit signal model. By knowing the model parameters that were used for compression one is able to recover the original uncompressed signal from a “broadcast” signal with high numerical accuracy and very low computational complexity. A compressor-decompressor scheme is worked out and described in detail. The approach is evaluated on real-world audio material with great success.

Cited by 19Open access

Two-beam coupling dynamic range compression deconvolution

Bahareh Haji-saeed, W. D. Goodhue, Charles L. Woods et al. · Applied Optics · 2010

In this paper, we demonstrate that our nonlinear dynamic range compression two-beam coupling deconvolution outperforms image restoration based on the well-established filters that have been used for the last 50 years, such as the Wiener filter and the inverse filter. In contrast to standard deconvolution approaches, for which noise can be a limiting factor in the performance, our approach allows the retrieval of distorted signals embedded in a very-high-noise environment. We analyzed the deconvolution orders for this device using a nonlinear transform method. Resolution gray-level recovery of blurred noisy images is demonstrated for several different types of image blur.

Cited by 4

Grey-Box Modelling of Dynamic Range Compression

Wright, Alec, Välimäki, Vesa · Aaltodoc (Aalto University) · 2022

Funding Information: ∗ This research belongs to the activities of the Nordic Sound and Music Computing Network-NordicSMC (NordForsk project number 86892). Publisher Copyright: Copyright: © 2022 Alec Wright et al.

Cited by 3Open access