New interleaved hierarchical interpolation with median-based interpolators for progressive image transmission

Bing Zeng; Ming Sun Fu; Chun Cheong Chuang

doi:10.1016/S0165-1684(00)00219-X

New interleaved hierarchical interpolation with median-based interpolators for progressive image transmission

Bing Zeng, Ming Sun Fu, Chun Cheong Chuang

Research output: Contribution to journal › Journal Article › peer-review

8 Citations (Scopus)

Abstract

The Hierarchical INTerpolation (HINT) algorithm provides an interpolated-pyramid data structure that is truly lossless and non-redundant for progressive image transmission. By splitting the interpolation into two directional stages, the so-called interleaved HINT (IHINT) is developed to further reduce the resulting entropy. In this paper, we introduce a new IHINT algorithm based on the quincunx sub-sampling grid, in which the diagonal interpolation is done first. We equip this algorithm with two novel interpolators that are based on some FIR-median hybrid filters. Simulation results consistently show an improved coding performance.

Original language	English
Pages (from-to)	431-438
Number of pages	8
Journal	Signal Processing
Volume	81
Issue number	2
DOIs	https://doi.org/10.1016/S0165-1684(00)00219-X
Publication status	Published - Feb 2001
Externally published	Yes

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10.1016/S0165-1684(00)00219-X

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title = "New interleaved hierarchical interpolation with median-based interpolators for progressive image transmission",

abstract = "The Hierarchical INTerpolation (HINT) algorithm provides an interpolated-pyramid data structure that is truly lossless and non-redundant for progressive image transmission. By splitting the interpolation into two directional stages, the so-called interleaved HINT (IHINT) is developed to further reduce the resulting entropy. In this paper, we introduce a new IHINT algorithm based on the quincunx sub-sampling grid, in which the diagonal interpolation is done first. We equip this algorithm with two novel interpolators that are based on some FIR-median hybrid filters. Simulation results consistently show an improved coding performance.",

author = "Bing Zeng and \{Sun Fu\}, Ming and \{Cheong Chuang\}, Chun",

year = "2001",

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doi = "10.1016/S0165-1684(00)00219-X",

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T1 - New interleaved hierarchical interpolation with median-based interpolators for progressive image transmission

AU - Zeng, Bing

AU - Sun Fu, Ming

AU - Cheong Chuang, Chun

PY - 2001/2

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N2 - The Hierarchical INTerpolation (HINT) algorithm provides an interpolated-pyramid data structure that is truly lossless and non-redundant for progressive image transmission. By splitting the interpolation into two directional stages, the so-called interleaved HINT (IHINT) is developed to further reduce the resulting entropy. In this paper, we introduce a new IHINT algorithm based on the quincunx sub-sampling grid, in which the diagonal interpolation is done first. We equip this algorithm with two novel interpolators that are based on some FIR-median hybrid filters. Simulation results consistently show an improved coding performance.

AB - The Hierarchical INTerpolation (HINT) algorithm provides an interpolated-pyramid data structure that is truly lossless and non-redundant for progressive image transmission. By splitting the interpolation into two directional stages, the so-called interleaved HINT (IHINT) is developed to further reduce the resulting entropy. In this paper, we introduce a new IHINT algorithm based on the quincunx sub-sampling grid, in which the diagonal interpolation is done first. We equip this algorithm with two novel interpolators that are based on some FIR-median hybrid filters. Simulation results consistently show an improved coding performance.

UR - https://www.webofscience.com/wos/woscc/full-record/WOS:000167084300015

UR - https://openalex.org/W2034406363

UR - https://www.scopus.com/pages/publications/0342961142

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DO - 10.1016/S0165-1684(00)00219-X

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VL - 81

SP - 431

EP - 438

JO - Signal Processing

JF - Signal Processing

IS - 2

ER -

New interleaved hierarchical interpolation with median-based interpolators for progressive image transmission

Abstract

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