Rate-distortion optimized layered coding of high dynamic range videos

Lee, Chul

doi:10.1016/j.jvcir.2012.05.009

Cited by 19 publications

(23 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Examples of two-stream compression for HDR video include HDR-MPEG [28], rate distortion [29], the base and detail method [30], and optimal exposure [31].…”

Section: Compressionmentioning

confidence: 99%

HDR video past, present and future: A perspective

Chalmers

Debattista

2017

Signal Processing: Image Communication

View full text Add to dashboard Cite

High Dynamic Range (HDR) video has emerged from research labs around the world and entered the realm of consumer electronics. The dynamic range that a human can see in a scene with minimal eye adaption (approximately 1,000,000 : 1) is vastly greater than traditional imaging technology which can only capture about 8 f-stops (256 : 1). HDR technology, on the other hand, has the potential to capture the full range of light in a scene; even more than a human eye can see. This paper examines the field of HDR video from capture to display; past, present and future. In particular the paper looks beyond the current marketing hype around HDR, to show how HDR video in the future can and, indeed, should bring about a step change in imaging, analogous to the change from black and white to colour.

show abstract

“…Examples of two-stream compression for HDR video include HDR-MPEG [28], rate distortion [29], the base and detail method [30], and optimal exposure [31].…”

Section: Compressionmentioning

confidence: 99%

HDR video past, present and future: A perspective

Chalmers

Debattista

2017

Signal Processing: Image Communication

View full text Add to dashboard Cite

show abstract

“…A few backward compatible algorithms [47,27,23] contain a tone-mapped (TM) stream which enables it to be played on legacy video players. The residual stream contains additional information to be used for reconstruction of HDR frames during decompression.…”

Section: Hdr Video Compression Algorithmsmentioning

confidence: 99%

“…Lee et al (2008) [23] proposed another backward compatible algorithm where the base 8-bit TM stream is created using a temporally coherent TMO [22]. Using the dual-loop encoding scheme, the TM stream is encoded and decoded to create a ratio stream similar to [47].…”

Section: Lee and Kim (Rate)mentioning

confidence: 99%

“…A Lagrangian optimization technique encodes the secondary stream at a higher quantization parameter (QP) value resulting in a reduced file size compared to other backward compatible algorithms where the same QP values are allocated to both base and residual streams. A block-based extension of this algorithm was later proposed by Lee et al (2012) [24] which uses a perceptual quantization similar to hdrmpeg. However, this extension is a not a part of this evaluation.…”

Section: Lee and Kim (Rate)mentioning

confidence: 99%

“…For the rate algorithm, the Lagrangian optimization formula QP residual = 0.77×QP base + 13.42 mentioned in [23] was used with automatic RD correction switched off.…”

Section: Quality and Bitrate Selectionmentioning

confidence: 99%

See 2 more Smart Citations

Objective and subjective evaluation of High Dynamic Range video compression

Mukherjee

Debattista

Bashford-Rogers

et al. 2016

Signal Processing: Image Communication

View full text Add to dashboard Cite

Copyright and reuse:The Warwick Research Archive Portal (WRAP) makes this work by researchers of the University of Warwick available open access under the following conditions. Copyright © and all moral rights to the version of the paper presented here belong to the individual author(s) and/or other copyright owners. To the extent reasonable and practicable the material made available in WRAP has been checked for eligibility before being made available.Copies of full items can be used for personal research or study, educational, or not-for-profit purposes without prior permission or charge. Provided that the authors, title and full bibliographic details are credited, a hyperlink and/or URL is given for the original metadata page and the content is not changed in any way. A note on versions:The version presented here may differ from the published version or, version of record, if you wish to cite this item you are advised to consult the publisher's version. Please see the 'permanent WRAP URL' above for details on accessing the published version and note that access may require a subscription. AbstractA number of High Dynamic Range (HDR) video compression algorithms proposed to date have either been developed in isolation or only-partially compared with each other. Previous evaluations were conducted using quality assessment error metrics, which for the most part were developed for qualitative assessment of Low Dynamic Range (LDR) videos. This paper presents a comprehensive objective and subjective evaluation conducted with six published HDR video compression algorithms. The objective evaluation was undertaken on a large set of 39 HDR video sequences using seven numerical error metrics namely: PSNR, logPSNR, puPSNR, puSSIM, Weber MSE, HDR-VDP and HDR-VQM. The subjective evaluation involved six short-listed sequences and two ranking-based subjective experiments with hidden reference at two different output bitrates with 32 participants each, who were tasked to rank distorted HDR video footage compared to an uncompressed version of the same footage. Results suggest a strong correlation between the objective and subjective evaluation. Also, non-backward compatible compression algorithms appear to perform better at lower output bit rates than backward compatible algorithms across the settings used in this evaluation.

show abstract

Optimal exposure compression for high dynamic range content

et al. 2015

View full text Add to dashboard Cite

High dynamic range (HDR) imaging has become one of the foremost imaging methods capable of capturing and displaying the full range of lighting perceived by the human visual system in the real world. A number of HDR compression methods for both images and video have been developed to handle HDR data, but none of them has yet been adopted as the method of choice. In particular the backwards-compatible methods that always maintain a stream/image that allow part of the content to be viewed on conventional displays make use of tone mapping operators which were developed to view HDR images on traditional displays. There are a large number of tone mappers, none of which is considered the best as the images produced could be deemed subjective. This work presents an alternative to tone mapping based HDR content compression by identifying a single exposure that can reproduce the most information from the original HDR image. This single exposure can be adapted to fit within the bit depth of any traditional encoder. Any additional information that may be lost is stored as a residual. Results demonstrate quality is maintained as well, and better, than other traditional methods. Furthermore, the presented method is backwards-compatible, straightforward to implement, fast and does not require choosing tone mappers or settings.

show abstract

Rate-distortion optimized layered coding of high dynamic range videos

Cited by 19 publications

References 40 publications

HDR video past, present and future: A perspective

HDR video past, present and future: A perspective

Objective and subjective evaluation of High Dynamic Range video compression

Optimal exposure compression for high dynamic range content

Contact Info

Product

Resources

About