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High-dynamic-range imaging

About: High-dynamic-range imaging is a research topic. Over the lifetime, 766 publications have been published within this topic receiving 22577 citations.


Papers
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Journal ArticleDOI
TL;DR: The art and science of hdr imaging chocolatesprings, the art andScience of hDr imaging nolia, and principles of radiographic imaging are reviewed.
Abstract: the art and science of hdr imaging chocolatesprings the art and science of hdr imaging nolia the art and science of hdr imaging by john j. mccann (filesize 28,78mb) ebook download the art and science of ( 11,99mb) ebook download principles of radiographic free download the art and science of hdr imaging book free download principles of radiographic imaging: an art special archiving savings imaging (size 50,66mb) download link principles of radiographic (filesize 58,45mb) epub download principles of john j. mccann and alessandro rizzi society for imaging science and technology the art and science of digital compositing, second edition the art and science of digital compositing, second edition high dynamic range gigapixel imaging as a method for ( 32,30mb) pdf color appearance models the wiley ist 58,14mb stuff life graphic guide genetics book 66,88mb the japanese arts and self cultivation pdf download 14,12mb tesccc 2012 answer key unit 3 lesson 1 doc book size 14,17mb practice guide math studies ib pdf filesize 79,80mb answer precision machining technology size 20,92mb the structure of scientific revolutions ebook filesize 26,56mb kawasaki kle50

45 citations

Proceedings ArticleDOI
TL;DR: The paper explores the use of linear mean-square-error estimation to more fully exploit the multiple pixel samples to reduce readout noise and thus extend dynamic range at the low illumination end.
Abstract: CMOS image sensors generally suffer form lower dynamic range than CCDs due to their higher readout noise. Their high speed readout capability and the potential of integrating memory and signal processing with the sensor on the same chip, open up many possibilities for enhancing their dynamic range. Earlier work have demonstrated the use of multiple non-destructive samples to enhance dynamic range, while achieving higher SNR than using other dynamic range enhancement schemes. The high dynamic range image is constructed by appropriately scaling each pixel's last sample before saturation. Conventional CDS is used to reduce offset FPN and reset noise. This simple high dynamic range image construction scheme, however, does not take full advantage of the multiple samples. Readout noise power, which doubles as a result of performing CDS, remain as high as in conventional sensor operation. As a result dynamic range is only extended at the high illumination end. The paper explores the use of linear mean-square-error estimation to more fully exploit the multiple pixel samples to reduce readout noise and thus extend dynamic range at the low illumination end. We present three estimation algorithms: (1) a recursive estimator when reset noise and offset FPN are ignored, (2) a non-recursive algorithm when reset noise and FPN are considered, and (3) a recursive estimation algorithm for case (2), which achieves mean square error close to the non-recursive algorithm without the need to store all the samples. The later recursive algorithm is attractive since it requires the storage of only a few pixel values per pixel, which makes its implementation in a single chip digital imaging system feasible.

45 citations

Journal ArticleDOI
TL;DR: A novel multi-scale fusion framework for low-illumination image enhancement, which effectively enhances images taken under various low-light conditions by employing a novel remapping function to generate a sequence of artificial multi-exposure images.

44 citations

Patent
28 Nov 2012
TL;DR: In this article, the authors proposed a high dynamic range imaging technique with multi-storage pixels, where charge from photodiodes may be transferred alternately to multiple storage nodes of the multi storage pixels.
Abstract: High dynamic range imaging techniques with multi-storage pixels are provided. Multiple images may be captured during a single exposure using an image sensor with multi-storage pixels. During a single exposure, charge from photodiodes may be transferred alternately to multiple storage nodes of the multi-storage pixels. During readout of a multi-storage pixel, charge may be transferred from each of multiple storage nodes one at a time to a floating diffusion node. Each subsequent transfer of charge may be summed with the charge already stored in the floating diffusion node. A pixel signal may be read out from the multi-storage pixel after each charge transfer. Images formed from the pixel signals may be combined to produce a high dynamic range image.

44 citations

Journal ArticleDOI
TL;DR: This study investigates two objective optimization criteria, namely mean squared error and structural similarity index measure, toward optimization of a tone mapping model-based HDR image compression method and conducts a comprehensive subjective study to evaluate the visual quality of the compressed HDR images.
Abstract: We study the issue of quality assessment in tone mapping- based high-dynamic-range (HDR) image compression. In this, there are two stages at which a decision should be made regarding perceptual vis- ual quality: (a) for finding the optimal parameters of the dynamic range reduction function so that the visual quality is maximized, and (b) visual quality judgment of the decompressed image. We first investigate two objective optimization criteria, namely mean squared error and structural similarity index measure, toward optimization of a tone mapping model- based HDR image compression method. We then conduct a comprehen- sive subjective study to evaluate the visual quality of the compressed HDR images. Therefore, we consider both objective and subjective aspects for HDR image compression. To our knowledge, no systematic and compre- hensive studies exist in the current literature which shed light on the issue of quality assessment in HDR compression. So this study brings in new knowledge and perspective for the relatively less investigated topic of HDR compression from the view point of perceptual quality. We further evaluate the prediction performances of four objective methods on the 140 compressed HDR images that have been subjectively rated.

44 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202333
202260
202129
202034
201937
201837