Improved vector quantization scheme for grayscale image compression View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2012-06

AUTHORS

Y. -C. Hu, W. -L. Chen, C. -C. Lo, J. -C. Chuang

ABSTRACT

This paper proposes an improved image coding scheme based on vector quantization. It is well known that the image quality of a VQ-compressed image is poor when a small-sized codebook is used. In order to solve this problem, the mean value of the image block is taken as an alternative block encoding rule to improve the image quality in the proposed scheme. To cut down the storage cost of compressed codes, a two-stage lossless coding approach including the linear prediction technique and the Huffman coding technique is employed in the proposed scheme. The results show that the proposed scheme achieves better image qualities than vector quantization while keeping low bit rates. More... »

PAGES

187-193

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.2478/s11772-012-0016-z

DOI

http://dx.doi.org/10.2478/s11772-012-0016-z

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1002838105


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0801", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Artificial Intelligence and Image Processing", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Providence University", 
          "id": "https://www.grid.ac/institutes/grid.412550.7", 
          "name": [
            "Department of Computer Science and Information Management, Providence University, 200 Chung Chi Rd., 43301, Taichung, Taiwan, R.O.C."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hu", 
        "givenName": "Y. -C.", 
        "id": "sg:person.012113441135.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012113441135.19"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Providence University", 
          "id": "https://www.grid.ac/institutes/grid.412550.7", 
          "name": [
            "Department of Computer Science and Information Management, Providence University, 200 Chung Chi Rd., 43301, Taichung, Taiwan, R.O.C."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chen", 
        "givenName": "W. -L.", 
        "id": "sg:person.011364173735.27", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011364173735.27"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Providence University", 
          "id": "https://www.grid.ac/institutes/grid.412550.7", 
          "name": [
            "Department of Computer Science and Information Engineering, Providence University, 200 Chung Chi Rd., 43301, Taichung, Taiwan, R.O.C."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lo", 
        "givenName": "C. -C.", 
        "id": "sg:person.014156430303.29", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014156430303.29"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Providence University", 
          "id": "https://www.grid.ac/institutes/grid.412550.7", 
          "name": [
            "Department of Computer Science & Communication Engineering, Providence University, 200 Chung-Chi Rd., 43301, Shalu, Taichung County, Taiwan, R.O.C."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chuang", 
        "givenName": "J. -C.", 
        "id": "sg:person.010022676243.10", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010022676243.10"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1117/1.1327497", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009045904"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1117/1.1386371", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010522880"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.asoc.2007.05.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016163592"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.patrec.2009.02.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017468860"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.patcog.2007.04.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018359292"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.2478/s11772-010-0073-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023172898", 
          "https://doi.org/10.2478/s11772-010-0073-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.patcog.2009.02.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033087350"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.imavis.2007.08.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039431796"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.patrec.2005.10.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040040652"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/13682199.2003.11784428", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058387216"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/26.3776", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061136664"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/30.735818", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061151955"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/30.754439", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061152054"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/30.793414", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061152080"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/83.541428", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061239508"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tcom.1980.1094577", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061552708"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tip.2003.819861", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061640964"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2012-06", 
    "datePublishedReg": "2012-06-01", 
    "description": "This paper proposes an improved image coding scheme based on vector quantization. It is well known that the image quality of a VQ-compressed image is poor when a small-sized codebook is used. In order to solve this problem, the mean value of the image block is taken as an alternative block encoding rule to improve the image quality in the proposed scheme. To cut down the storage cost of compressed codes, a two-stage lossless coding approach including the linear prediction technique and the Huffman coding technique is employed in the proposed scheme. The results show that the proposed scheme achieves better image qualities than vector quantization while keeping low bit rates.", 
    "genre": "research_article", 
    "id": "sg:pub.10.2478/s11772-012-0016-z", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1140848", 
        "issn": [
          "1230-3402", 
          "1896-3757"
        ], 
        "name": "Opto-Electronics Review", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "20"
      }
    ], 
    "name": "Improved vector quantization scheme for grayscale image compression", 
    "pagination": "187-193", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "0d83f6f7af9f691d8622be2175ba30ba59e23048a81346b123069a51fc0e4367"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.2478/s11772-012-0016-z"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1002838105"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.2478/s11772-012-0016-z", 
      "https://app.dimensions.ai/details/publication/pub.1002838105"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T17:25", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8672_00000485.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.2478/s11772-012-0016-z"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.2478/s11772-012-0016-z'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.2478/s11772-012-0016-z'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.2478/s11772-012-0016-z'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.2478/s11772-012-0016-z'


 

This table displays all metadata directly associated to this object as RDF triples.

136 TRIPLES      21 PREDICATES      44 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.2478/s11772-012-0016-z schema:about anzsrc-for:08
2 anzsrc-for:0801
3 schema:author Ncb01aea8193c494a8bb20db3b000ff85
4 schema:citation sg:pub.10.2478/s11772-010-0073-0
5 https://doi.org/10.1016/j.asoc.2007.05.002
6 https://doi.org/10.1016/j.imavis.2007.08.001
7 https://doi.org/10.1016/j.patcog.2007.04.015
8 https://doi.org/10.1016/j.patcog.2009.02.001
9 https://doi.org/10.1016/j.patrec.2005.10.006
10 https://doi.org/10.1016/j.patrec.2009.02.003
11 https://doi.org/10.1080/13682199.2003.11784428
12 https://doi.org/10.1109/26.3776
13 https://doi.org/10.1109/30.735818
14 https://doi.org/10.1109/30.754439
15 https://doi.org/10.1109/30.793414
16 https://doi.org/10.1109/83.541428
17 https://doi.org/10.1109/tcom.1980.1094577
18 https://doi.org/10.1109/tip.2003.819861
19 https://doi.org/10.1117/1.1327497
20 https://doi.org/10.1117/1.1386371
21 schema:datePublished 2012-06
22 schema:datePublishedReg 2012-06-01
23 schema:description This paper proposes an improved image coding scheme based on vector quantization. It is well known that the image quality of a VQ-compressed image is poor when a small-sized codebook is used. In order to solve this problem, the mean value of the image block is taken as an alternative block encoding rule to improve the image quality in the proposed scheme. To cut down the storage cost of compressed codes, a two-stage lossless coding approach including the linear prediction technique and the Huffman coding technique is employed in the proposed scheme. The results show that the proposed scheme achieves better image qualities than vector quantization while keeping low bit rates.
24 schema:genre research_article
25 schema:inLanguage en
26 schema:isAccessibleForFree true
27 schema:isPartOf N19b4c581c55e48f7a2ea6b3b4d02951b
28 N4aef220ab59e4d7aaff3248f98cccd03
29 sg:journal.1140848
30 schema:name Improved vector quantization scheme for grayscale image compression
31 schema:pagination 187-193
32 schema:productId N0917115813344d77b86873c408c80f8c
33 N5f9cf3712eee4ecba30840888aae1ed8
34 N7004cd3d1a0349dab62db40795f925f0
35 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002838105
36 https://doi.org/10.2478/s11772-012-0016-z
37 schema:sdDatePublished 2019-04-10T17:25
38 schema:sdLicense https://scigraph.springernature.com/explorer/license/
39 schema:sdPublisher N1330d7c7f1d449f387a40f9e6ce3be2e
40 schema:url http://link.springer.com/10.2478/s11772-012-0016-z
41 sgo:license sg:explorer/license/
42 sgo:sdDataset articles
43 rdf:type schema:ScholarlyArticle
44 N0917115813344d77b86873c408c80f8c schema:name readcube_id
45 schema:value 0d83f6f7af9f691d8622be2175ba30ba59e23048a81346b123069a51fc0e4367
46 rdf:type schema:PropertyValue
47 N1330d7c7f1d449f387a40f9e6ce3be2e schema:name Springer Nature - SN SciGraph project
48 rdf:type schema:Organization
49 N19b4c581c55e48f7a2ea6b3b4d02951b schema:volumeNumber 20
50 rdf:type schema:PublicationVolume
51 N4aef220ab59e4d7aaff3248f98cccd03 schema:issueNumber 2
52 rdf:type schema:PublicationIssue
53 N5f9cf3712eee4ecba30840888aae1ed8 schema:name doi
54 schema:value 10.2478/s11772-012-0016-z
55 rdf:type schema:PropertyValue
56 N6c81614d76ed42c6a543dbc4c0d52086 rdf:first sg:person.014156430303.29
57 rdf:rest Nf20af50dbf6e4c7cbd1fa36721b1ae2b
58 N7004cd3d1a0349dab62db40795f925f0 schema:name dimensions_id
59 schema:value pub.1002838105
60 rdf:type schema:PropertyValue
61 N929fd69355df4f58936df229624cf589 rdf:first sg:person.011364173735.27
62 rdf:rest N6c81614d76ed42c6a543dbc4c0d52086
63 Ncb01aea8193c494a8bb20db3b000ff85 rdf:first sg:person.012113441135.19
64 rdf:rest N929fd69355df4f58936df229624cf589
65 Nf20af50dbf6e4c7cbd1fa36721b1ae2b rdf:first sg:person.010022676243.10
66 rdf:rest rdf:nil
67 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
68 schema:name Information and Computing Sciences
69 rdf:type schema:DefinedTerm
70 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
71 schema:name Artificial Intelligence and Image Processing
72 rdf:type schema:DefinedTerm
73 sg:journal.1140848 schema:issn 1230-3402
74 1896-3757
75 schema:name Opto-Electronics Review
76 rdf:type schema:Periodical
77 sg:person.010022676243.10 schema:affiliation https://www.grid.ac/institutes/grid.412550.7
78 schema:familyName Chuang
79 schema:givenName J. -C.
80 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010022676243.10
81 rdf:type schema:Person
82 sg:person.011364173735.27 schema:affiliation https://www.grid.ac/institutes/grid.412550.7
83 schema:familyName Chen
84 schema:givenName W. -L.
85 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011364173735.27
86 rdf:type schema:Person
87 sg:person.012113441135.19 schema:affiliation https://www.grid.ac/institutes/grid.412550.7
88 schema:familyName Hu
89 schema:givenName Y. -C.
90 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012113441135.19
91 rdf:type schema:Person
92 sg:person.014156430303.29 schema:affiliation https://www.grid.ac/institutes/grid.412550.7
93 schema:familyName Lo
94 schema:givenName C. -C.
95 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014156430303.29
96 rdf:type schema:Person
97 sg:pub.10.2478/s11772-010-0073-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023172898
98 https://doi.org/10.2478/s11772-010-0073-0
99 rdf:type schema:CreativeWork
100 https://doi.org/10.1016/j.asoc.2007.05.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016163592
101 rdf:type schema:CreativeWork
102 https://doi.org/10.1016/j.imavis.2007.08.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039431796
103 rdf:type schema:CreativeWork
104 https://doi.org/10.1016/j.patcog.2007.04.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018359292
105 rdf:type schema:CreativeWork
106 https://doi.org/10.1016/j.patcog.2009.02.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033087350
107 rdf:type schema:CreativeWork
108 https://doi.org/10.1016/j.patrec.2005.10.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040040652
109 rdf:type schema:CreativeWork
110 https://doi.org/10.1016/j.patrec.2009.02.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017468860
111 rdf:type schema:CreativeWork
112 https://doi.org/10.1080/13682199.2003.11784428 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058387216
113 rdf:type schema:CreativeWork
114 https://doi.org/10.1109/26.3776 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061136664
115 rdf:type schema:CreativeWork
116 https://doi.org/10.1109/30.735818 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061151955
117 rdf:type schema:CreativeWork
118 https://doi.org/10.1109/30.754439 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061152054
119 rdf:type schema:CreativeWork
120 https://doi.org/10.1109/30.793414 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061152080
121 rdf:type schema:CreativeWork
122 https://doi.org/10.1109/83.541428 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061239508
123 rdf:type schema:CreativeWork
124 https://doi.org/10.1109/tcom.1980.1094577 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061552708
125 rdf:type schema:CreativeWork
126 https://doi.org/10.1109/tip.2003.819861 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061640964
127 rdf:type schema:CreativeWork
128 https://doi.org/10.1117/1.1327497 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009045904
129 rdf:type schema:CreativeWork
130 https://doi.org/10.1117/1.1386371 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010522880
131 rdf:type schema:CreativeWork
132 https://www.grid.ac/institutes/grid.412550.7 schema:alternateName Providence University
133 schema:name Department of Computer Science & Communication Engineering, Providence University, 200 Chung-Chi Rd., 43301, Shalu, Taichung County, Taiwan, R.O.C.
134 Department of Computer Science and Information Engineering, Providence University, 200 Chung Chi Rd., 43301, Taichung, Taiwan, R.O.C.
135 Department of Computer Science and Information Management, Providence University, 200 Chung Chi Rd., 43301, Taichung, Taiwan, R.O.C.
136 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...