Abstract
Block Truncation Coding (BTC) is an effective lossy image coding technique that enjoys both high efficiency and low complexity especially when halftoning techniques are employed to shape the noise spectrum of its output. However, due to its block-based nature, blocking artifacts are commonly found in the coding outputs. In this work, a real-time halftoningbased BTC algorithm is proposed to solve this problem by eliminating the cause of blocking artifacts while maintaining a complexity comparable to the best stateofthe-art halftoning-based BTC algorithm. Both objective and subjective comparisons demonstrate the visual quality improvement in its encoding outputs.
Original language | English |
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Title of host publication | 2016 24th European Signal Processing Conference, EUSIPCO 2016 |
Publisher | European Signal Processing Conference, EUSIPCO |
Pages | 913-917 |
Number of pages | 5 |
Volume | 2016-November |
ISBN (Electronic) | 9780992862657 |
DOIs | |
Publication status | Published - 28 Nov 2016 |
Event | 24th European Signal Processing Conference, EUSIPCO 2016 - Hotel Hilton Budapest, Budapest, Hungary Duration: 28 Aug 2016 → 2 Sept 2016 |
Conference
Conference | 24th European Signal Processing Conference, EUSIPCO 2016 |
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Country/Territory | Hungary |
City | Budapest |
Period | 28/08/16 → 2/09/16 |
Keywords
- Block truncation coding
- Blocking artifacts
- Halftoning
ASJC Scopus subject areas
- Signal Processing
- Electrical and Electronic Engineering