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Akhil Kumar 0002

dblp:67/4104 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 1999
—ORCID · none

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

Graphics, computer vision, multimedia, augmented reality and games · 2 · 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 processing · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video processing › halftoning
error diffusion
0.011999
On the phase response of the error diffusion filter for image halftoning · IEEE Trans. Image Process. 1999
Image and video processing
halftoning
0.011999
On the phase response of the error diffusion filter for image halftoning · IEEE Trans. Image Process. 1999

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

zero phase filter · 0.0noncausal error filter · 0.0iterative error diffusion · 0.0
YearPublicationVenuePosition
1999 On the phase response of the error diffusion filter for image halftoning
abstract
Conventional error diffusion halftoning uses a causal error filter. We propose the iterative error diffusion algorithm by extending the error diffusion to accommodate noncausal error filters. We realize the importance of the phase response of the error filter in the error diffusion halftoning method, and demonstrate it using examples. Iterative error diffusion is able to realize a zero phase error filter. We also trace a drawback of error diffusion to the shape of the error filter, and provide a remedy. The results obtained using a zero phase error filter in the iterative error diffusion algorithm are, in our opinion, superior to the error diffusion halftones.
Akhil Kumar 0002, Anamitra Makur
IEEE Trans. Image Process.1
1997 Iterative Error Diffusion Halftoning Using a Zero Phase Error Filter
abstract
The halftone quality of an error diffusion halftone depends on the error filter response. Apart form the magnitude response being a low pass, it is desirable to have a zero phase response. We propose the iterative error diffusion halftoning algorithm that allows use of non-causal error filter (such as zero phase error filter). We present simulation results showing that the proposed halftoning scheme is substantially better, specially in retaining the sharpness of the edges and in truthfullness.
Anamitra Makur, Akhil Kumar 0002
ICIP (1)2