Matches in SemOpenAlex for { <https://semopenalex.org/work/W2891335861> ?p ?o ?g. }
Showing items 1 to 77 of
77
with 100 items per page.
- W2891335861 endingPage "169" @default.
- W2891335861 startingPage "165" @default.
- W2891335861 abstract "Compression is the technique for effective utilization of space in servers as well as in personal computers. Most significantly, being the multimedia compression. In this paper, the focus is on Image Compression method. Image compression method has two types: lossy and lossless compression. Vector quantization is an effective way of lossy compression technique. The important tasks in vector quantization are codebook generation and searching. LBG algorithm is a prominent standard for vector quantization. The major drawback with LBG compression is complexity in computation, which is directly proportional to size of the codebook and number of pixels in image. Another drawback of LBG is global codebook generation which is time consuming and standardizing this codebook is not possible. A novel method is proposed in this paper to address these issues. The proposed method is Efficient Lossy Image Compression using Vector Quantization (ELIC-VQ). It generates global codebook and uses centroid based approach to remove local problem of optimization. A centroid based compression reduces the operation of the comparison with the codebook and helps to improve the performance. At the time of decompression of the image, the codebook comparison is dependent on the index similar to LBG. The experimental results show that ELIC-VQ approach reduces the computational complexity, increases compression percentage and speed up the vector quantization process. The reconstructed image has reduced distortion significantly than using LBG." @default.
- W2891335861 created "2018-09-27" @default.
- W2891335861 creator A5011518276 @default.
- W2891335861 creator A5072763644 @default.
- W2891335861 creator A5077612648 @default.
- W2891335861 date "2018-01-01" @default.
- W2891335861 modified "2023-09-27" @default.
- W2891335861 title "Efficient Lossy Image Compression using Vector Quantization (ELIC-VQ)" @default.
- W2891335861 hasPublicationYear "2018" @default.
- W2891335861 type Work @default.
- W2891335861 sameAs 2891335861 @default.
- W2891335861 citedByCount "0" @default.
- W2891335861 crossrefType "journal-article" @default.
- W2891335861 hasAuthorship W2891335861A5011518276 @default.
- W2891335861 hasAuthorship W2891335861A5072763644 @default.
- W2891335861 hasAuthorship W2891335861A5077612648 @default.
- W2891335861 hasConcept C11413529 @default.
- W2891335861 hasConcept C115961682 @default.
- W2891335861 hasConcept C127759330 @default.
- W2891335861 hasConcept C13481523 @default.
- W2891335861 hasConcept C154945302 @default.
- W2891335861 hasConcept C165021410 @default.
- W2891335861 hasConcept C199833920 @default.
- W2891335861 hasConcept C28855332 @default.
- W2891335861 hasConcept C31972630 @default.
- W2891335861 hasConcept C33923547 @default.
- W2891335861 hasConcept C41008148 @default.
- W2891335861 hasConcept C78548338 @default.
- W2891335861 hasConcept C81081738 @default.
- W2891335861 hasConcept C93372532 @default.
- W2891335861 hasConcept C9417928 @default.
- W2891335861 hasConceptScore W2891335861C11413529 @default.
- W2891335861 hasConceptScore W2891335861C115961682 @default.
- W2891335861 hasConceptScore W2891335861C127759330 @default.
- W2891335861 hasConceptScore W2891335861C13481523 @default.
- W2891335861 hasConceptScore W2891335861C154945302 @default.
- W2891335861 hasConceptScore W2891335861C165021410 @default.
- W2891335861 hasConceptScore W2891335861C199833920 @default.
- W2891335861 hasConceptScore W2891335861C28855332 @default.
- W2891335861 hasConceptScore W2891335861C31972630 @default.
- W2891335861 hasConceptScore W2891335861C33923547 @default.
- W2891335861 hasConceptScore W2891335861C41008148 @default.
- W2891335861 hasConceptScore W2891335861C78548338 @default.
- W2891335861 hasConceptScore W2891335861C81081738 @default.
- W2891335861 hasConceptScore W2891335861C93372532 @default.
- W2891335861 hasConceptScore W2891335861C9417928 @default.
- W2891335861 hasIssue "9" @default.
- W2891335861 hasLocation W28913358611 @default.
- W2891335861 hasOpenAccess W2891335861 @default.
- W2891335861 hasPrimaryLocation W28913358611 @default.
- W2891335861 hasRelatedWork W156190883 @default.
- W2891335861 hasRelatedWork W1603652460 @default.
- W2891335861 hasRelatedWork W1977098114 @default.
- W2891335861 hasRelatedWork W1981572415 @default.
- W2891335861 hasRelatedWork W2017514583 @default.
- W2891335861 hasRelatedWork W2018549909 @default.
- W2891335861 hasRelatedWork W2031811775 @default.
- W2891335861 hasRelatedWork W2055976146 @default.
- W2891335861 hasRelatedWork W2152945243 @default.
- W2891335861 hasRelatedWork W2153917268 @default.
- W2891335861 hasRelatedWork W2159265850 @default.
- W2891335861 hasRelatedWork W2166351194 @default.
- W2891335861 hasRelatedWork W2188703295 @default.
- W2891335861 hasRelatedWork W2348957174 @default.
- W2891335861 hasRelatedWork W2377706089 @default.
- W2891335861 hasRelatedWork W2507786751 @default.
- W2891335861 hasRelatedWork W2543512017 @default.
- W2891335861 hasRelatedWork W2766963310 @default.
- W2891335861 hasRelatedWork W3048846102 @default.
- W2891335861 hasRelatedWork W3182826549 @default.
- W2891335861 hasVolume "10" @default.
- W2891335861 isParatext "false" @default.
- W2891335861 isRetracted "false" @default.
- W2891335861 magId "2891335861" @default.
- W2891335861 workType "article" @default.