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Hsin-Chang Feng

dblp:131/4333 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2015
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 2 · 2 first-authorDatabases, data management, data science and information retrieval · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Image and video coding · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video coding
image compression
0.212015
A Methodology for Visually Lossless JPEG2000 Compression of Monochrome Stereo Images · IEEE Trans. Image Process. 2015
Image and video coding › image compression › wavelet-based image coding
JPEG2000
0.212015
A Methodology for Visually Lossless JPEG2000 Compression of Monochrome Stereo Images · IEEE Trans. Image Process. 2015
Image and video coding › image compression › perceptual image compression
perceptually lossless compression
0.212015
A Methodology for Visually Lossless JPEG2000 Compression of Monochrome Stereo Images · IEEE Trans. Image Process. 2015
Image and video coding › image compression
stereo image compression
0.212015
A Methodology for Visually Lossless JPEG2000 Compression of Monochrome Stereo Images · IEEE Trans. Image Process. 2015
Image and video coding
quantization noise
0.112015
A Methodology for Visually Lossless JPEG2000 Compression of Monochrome Stereo Images · IEEE Trans. Image Process. 2015

Methods — techniques the papers use, named apart from their topics

wavelet coefficient analysis · 0.2visibility threshold modeling · 0.2
YearPublicationVenuePosition
2015 A Methodology for Visually Lossless JPEG2000 Compression of Monochrome Stereo Images
abstract
A methodology for visually lossless compression of monochrome stereoscopic 3D images is proposed. Visibility thresholds are measured for quantization distortion in JPEG2000. These thresholds are found to be functions of not only spatial frequency, but also of wavelet coefficient variance, as well as the gray level in both the left and right images. To avoid a daunting number of measurements during subjective experiments, a model for visibility thresholds is developed. The left image and right image of a stereo pair are then compressed jointly using the visibility thresholds obtained from the proposed model to ensure that quantization errors in each image are imperceptible to both eyes. This methodology is then demonstrated via a particular 3D stereoscopic display system with an associated viewing condition. The resulting images are visually lossless when displayed individually as 2D images, and also when displayed in stereoscopic 3D mode.
Hsin-Chang Feng, Michael W. Marcellin, Ali Bilgin
IEEE Trans. Image Process.1
2013 Visually Lossless Compression of Stereo Images
abstract
With consumer-grade 3D displays becoming widely available, stereoscopic 3D imaging has received increased attention over the last few years. Since a left eye and a right eye image are contained in a stereo pair, stereoscopic imaging requires double the amount of data compared to 2D images. Therefore, efficient data compression techniques are especially critical in these applications. In this paper, we propose a method to determine visibility thresholds (VTs) for 3D displays with active shutter glasses. These VTs are then used in a novel visually lossless compression method for monochrome stereoscopic 3D images.
Hsin-Chang Feng, Michael W. Marcellin, Ali Bilgin
DCC1