Efficient greyscale image compression technique based on vector quantization View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2011-03

AUTHORS

Y. C. Hu, J. C. Chuang, C. C. Lo, C. Y. Li

ABSTRACT

In this paper, a novel greyscale image coding technique based on vector quantization (VQ) is proposed. In VQ, the reconstructed image quality is restricted by the codebook used in the image encoding/decoding procedures. To provide a better image quality using a fixed-sized codebook, the codebook expansion technique is introduced in the proposed technique. In addition, the block prediction technique and the relatively address technique are employed to cut down the required storage cost of the compressed codes. From the results, it is shown that the proposed technique adaptively provides better image quality at low bit rates than VQ. More... »

PAGES

104-113

Identifiers

URI

http://scigraph.springernature.com/pub.10.2478/s11772-010-0073-0

DOI

http://dx.doi.org/10.2478/s11772-010-0073-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1023172898


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, 433, 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 Communication Engineering, Providence University, 433, Taichung, 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"
      }, 
      {
        "affiliation": {
          "alternateName": "Providence University", 
          "id": "https://www.grid.ac/institutes/grid.412550.7", 
          "name": [
            "Department of Computer Science and Information Engineering, Providence University, 433, Taichung, Taiwan, R.O.C."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lo", 
        "givenName": "C. C.", 
        "id": "sg:person.016474304135.48", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016474304135.48"
        ], 
        "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, 433, Taichung, Taiwan, R.O.C."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Li", 
        "givenName": "C. Y.", 
        "id": "sg:person.012410051231.61", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012410051231.61"
        ], 
        "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/10.1016/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": "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/10.1016/j.patcog.2005.11.021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042353549"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1049/iet-ipr:20070153", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056829603"
        ], 
        "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/lsp.2003.819869", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061376213"
        ], 
        "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.2003.810587", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061640842"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2011-03", 
    "datePublishedReg": "2011-03-01", 
    "description": "In this paper, a novel greyscale image coding technique based on vector quantization (VQ) is proposed. In VQ, the reconstructed image quality is restricted by the codebook used in the image encoding/decoding procedures. To provide a better image quality using a fixed-sized codebook, the codebook expansion technique is introduced in the proposed technique. In addition, the block prediction technique and the relatively address technique are employed to cut down the required storage cost of the compressed codes. From the results, it is shown that the proposed technique adaptively provides better image quality at low bit rates than VQ.", 
    "genre": "research_article", 
    "id": "sg:pub.10.2478/s11772-010-0073-0", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1140848", 
        "issn": [
          "1230-3402", 
          "1896-3757"
        ], 
        "name": "Opto-Electronics Review", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "19"
      }
    ], 
    "name": "Efficient greyscale image compression technique based on vector quantization", 
    "pagination": "104-113", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "6e66ae45e3f0062c5830d04168721d8e8f02071abc7bd518f049ac393f98ff53"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.2478/s11772-010-0073-0"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1023172898"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.2478/s11772-010-0073-0", 
      "https://app.dimensions.ai/details/publication/pub.1023172898"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T19:03", 
    "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_8678_00000488.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.2478/s11772-010-0073-0"
  }
]
 

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/s11772-010-0073-0'

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/s11772-010-0073-0'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.2478/s11772-010-0073-0'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.2478/s11772-010-0073-0'


 

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

138 TRIPLES      21 PREDICATES      45 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.2478/s11772-010-0073-0 schema:about anzsrc-for:08
2 anzsrc-for:0801
3 schema:author N629324e8c51448de9dea6d74e99affbe
4 schema:citation https://doi.org/10.1016/j.asoc.2007.05.002
5 https://doi.org/10.1016/j.imavis.2007.08.001
6 https://doi.org/10.1016/j.patcog.2005.11.021
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/10.1049/iet-ipr:20070153
12 https://doi.org/10.1080/13682199.2003.11784428
13 https://doi.org/10.1109/26.3776
14 https://doi.org/10.1109/30.735818
15 https://doi.org/10.1109/30.754439
16 https://doi.org/10.1109/30.793414
17 https://doi.org/10.1109/83.541428
18 https://doi.org/10.1109/lsp.2003.819869
19 https://doi.org/10.1109/tcom.1980.1094577
20 https://doi.org/10.1109/tip.2003.810587
21 https://doi.org/10.1117/1.1327497
22 schema:datePublished 2011-03
23 schema:datePublishedReg 2011-03-01
24 schema:description In this paper, a novel greyscale image coding technique based on vector quantization (VQ) is proposed. In VQ, the reconstructed image quality is restricted by the codebook used in the image encoding/decoding procedures. To provide a better image quality using a fixed-sized codebook, the codebook expansion technique is introduced in the proposed technique. In addition, the block prediction technique and the relatively address technique are employed to cut down the required storage cost of the compressed codes. From the results, it is shown that the proposed technique adaptively provides better image quality at low bit rates than VQ.
25 schema:genre research_article
26 schema:inLanguage en
27 schema:isAccessibleForFree true
28 schema:isPartOf Nb4911daa6bdd40e0a2e8c06e6db46bd3
29 Ne1b58f337eb84fea8acd2c2b624e03a1
30 sg:journal.1140848
31 schema:name Efficient greyscale image compression technique based on vector quantization
32 schema:pagination 104-113
33 schema:productId Nb96d74d817e343fbab3ea437654a8416
34 Ndccadef498a343e6a9cbe48733158dd8
35 Nddf27d83f04d45e0b87e38878d55cc70
36 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023172898
37 https://doi.org/10.2478/s11772-010-0073-0
38 schema:sdDatePublished 2019-04-10T19:03
39 schema:sdLicense https://scigraph.springernature.com/explorer/license/
40 schema:sdPublisher Nfd0f1546e08b4699b3461126694fb772
41 schema:url http://link.springer.com/10.2478/s11772-010-0073-0
42 sgo:license sg:explorer/license/
43 sgo:sdDataset articles
44 rdf:type schema:ScholarlyArticle
45 N15f0ca0109f84d88b22fa26175790cd6 rdf:first sg:person.010022676243.10
46 rdf:rest N69aa186729dc48a29214f7ed24a5eca7
47 N629324e8c51448de9dea6d74e99affbe rdf:first sg:person.012113441135.19
48 rdf:rest N15f0ca0109f84d88b22fa26175790cd6
49 N69aa186729dc48a29214f7ed24a5eca7 rdf:first sg:person.016474304135.48
50 rdf:rest N8e3bae041dbd411eafb89989842a9603
51 N8e3bae041dbd411eafb89989842a9603 rdf:first sg:person.012410051231.61
52 rdf:rest rdf:nil
53 Nb4911daa6bdd40e0a2e8c06e6db46bd3 schema:volumeNumber 19
54 rdf:type schema:PublicationVolume
55 Nb96d74d817e343fbab3ea437654a8416 schema:name dimensions_id
56 schema:value pub.1023172898
57 rdf:type schema:PropertyValue
58 Ndccadef498a343e6a9cbe48733158dd8 schema:name readcube_id
59 schema:value 6e66ae45e3f0062c5830d04168721d8e8f02071abc7bd518f049ac393f98ff53
60 rdf:type schema:PropertyValue
61 Nddf27d83f04d45e0b87e38878d55cc70 schema:name doi
62 schema:value 10.2478/s11772-010-0073-0
63 rdf:type schema:PropertyValue
64 Ne1b58f337eb84fea8acd2c2b624e03a1 schema:issueNumber 1
65 rdf:type schema:PublicationIssue
66 Nfd0f1546e08b4699b3461126694fb772 schema:name Springer Nature - SN SciGraph project
67 rdf:type schema:Organization
68 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
69 schema:name Information and Computing Sciences
70 rdf:type schema:DefinedTerm
71 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
72 schema:name Artificial Intelligence and Image Processing
73 rdf:type schema:DefinedTerm
74 sg:journal.1140848 schema:issn 1230-3402
75 1896-3757
76 schema:name Opto-Electronics Review
77 rdf:type schema:Periodical
78 sg:person.010022676243.10 schema:affiliation https://www.grid.ac/institutes/grid.412550.7
79 schema:familyName Chuang
80 schema:givenName J. C.
81 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010022676243.10
82 rdf:type schema:Person
83 sg:person.012113441135.19 schema:affiliation https://www.grid.ac/institutes/grid.412550.7
84 schema:familyName Hu
85 schema:givenName Y. C.
86 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012113441135.19
87 rdf:type schema:Person
88 sg:person.012410051231.61 schema:affiliation https://www.grid.ac/institutes/grid.412550.7
89 schema:familyName Li
90 schema:givenName C. Y.
91 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012410051231.61
92 rdf:type schema:Person
93 sg:person.016474304135.48 schema:affiliation https://www.grid.ac/institutes/grid.412550.7
94 schema:familyName Lo
95 schema:givenName C. C.
96 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016474304135.48
97 rdf:type schema:Person
98 https://doi.org/10.1016/j.asoc.2007.05.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016163592
99 rdf:type schema:CreativeWork
100 https://doi.org/10.1016/j.imavis.2007.08.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039431796
101 rdf:type schema:CreativeWork
102 https://doi.org/10.1016/j.patcog.2005.11.021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042353549
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/10.1049/iet-ipr:20070153 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056829603
113 rdf:type schema:CreativeWork
114 https://doi.org/10.1080/13682199.2003.11784428 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058387216
115 rdf:type schema:CreativeWork
116 https://doi.org/10.1109/26.3776 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061136664
117 rdf:type schema:CreativeWork
118 https://doi.org/10.1109/30.735818 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061151955
119 rdf:type schema:CreativeWork
120 https://doi.org/10.1109/30.754439 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061152054
121 rdf:type schema:CreativeWork
122 https://doi.org/10.1109/30.793414 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061152080
123 rdf:type schema:CreativeWork
124 https://doi.org/10.1109/83.541428 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061239508
125 rdf:type schema:CreativeWork
126 https://doi.org/10.1109/lsp.2003.819869 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061376213
127 rdf:type schema:CreativeWork
128 https://doi.org/10.1109/tcom.1980.1094577 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061552708
129 rdf:type schema:CreativeWork
130 https://doi.org/10.1109/tip.2003.810587 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061640842
131 rdf:type schema:CreativeWork
132 https://doi.org/10.1117/1.1327497 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009045904
133 rdf:type schema:CreativeWork
134 https://www.grid.ac/institutes/grid.412550.7 schema:alternateName Providence University
135 schema:name Department of Computer Science and Communication Engineering, Providence University, 433, Taichung, Taiwan, R.O.C.
136 Department of Computer Science and Information Engineering, Providence University, 433, Taichung, Taiwan, R.O.C.
137 Department of Computer Science and Information Management, Providence University, 433, Taichung, Taiwan, R.O.C.
138 rdf:type schema:Organization
 




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


...