An energy-efficient low-memory image compression system for multimedia IoT products
Abstract Emerging Internet of things (IoT) technologies have rapidly expanded to multimedia applications, including high-resolution image transmission. However, handling image data in IoT products with limited battery capacity requires low-complexity and small-size solutions such as low-memory compr...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2018-09-01
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| Series: | EURASIP Journal on Image and Video Processing |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13640-018-0333-3 |
| _version_ | 1828876765751148544 |
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| author | Seong-Won Lee Ho-Young Kim |
| author_facet | Seong-Won Lee Ho-Young Kim |
| author_sort | Seong-Won Lee |
| collection | DOAJ |
| description | Abstract Emerging Internet of things (IoT) technologies have rapidly expanded to multimedia applications, including high-resolution image transmission. However, handling image data in IoT products with limited battery capacity requires low-complexity and small-size solutions such as low-memory compression techniques. The objective of this paper is to propose a line-based compression system based on four-level two-line discrete wavelet transform and adaptive line prediction. Bit stream is generated by multiplexing various frequency components with run-level coding combined with Huffman coding. The proposed system also includes a new bit rate control algorithm that could significantly improve image quality consistency in one frame. The proposed low-memory compression system can retain image quality for visually lossless compression criteria over the whole image frame. It can simultaneously lower total system power consumption in multimedia IoT products better than other existing low-memory compression techniques. |
| first_indexed | 2024-12-13T08:27:27Z |
| format | Article |
| id | doaj.art-02f6a626c1374bed85524535b647be79 |
| institution | Directory Open Access Journal |
| issn | 1687-5281 |
| language | English |
| last_indexed | 2024-12-13T08:27:27Z |
| publishDate | 2018-09-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Image and Video Processing |
| spelling | doaj.art-02f6a626c1374bed85524535b647be792022-12-21T23:53:51ZengSpringerOpenEURASIP Journal on Image and Video Processing1687-52812018-09-012018111510.1186/s13640-018-0333-3An energy-efficient low-memory image compression system for multimedia IoT productsSeong-Won Lee0Ho-Young Kim1Department of Computer Engineering, Kwangwoon UniversityDepartment of Computer Engineering, Kwangwoon UniversityAbstract Emerging Internet of things (IoT) technologies have rapidly expanded to multimedia applications, including high-resolution image transmission. However, handling image data in IoT products with limited battery capacity requires low-complexity and small-size solutions such as low-memory compression techniques. The objective of this paper is to propose a line-based compression system based on four-level two-line discrete wavelet transform and adaptive line prediction. Bit stream is generated by multiplexing various frequency components with run-level coding combined with Huffman coding. The proposed system also includes a new bit rate control algorithm that could significantly improve image quality consistency in one frame. The proposed low-memory compression system can retain image quality for visually lossless compression criteria over the whole image frame. It can simultaneously lower total system power consumption in multimedia IoT products better than other existing low-memory compression techniques.http://link.springer.com/article/10.1186/s13640-018-0333-3Multimedia Internet of thingsLine-based low-memory compressionImage quality consistent bit rate control |
| spellingShingle | Seong-Won Lee Ho-Young Kim An energy-efficient low-memory image compression system for multimedia IoT products EURASIP Journal on Image and Video Processing Multimedia Internet of things Line-based low-memory compression Image quality consistent bit rate control |
| title | An energy-efficient low-memory image compression system for multimedia IoT products |
| title_full | An energy-efficient low-memory image compression system for multimedia IoT products |
| title_fullStr | An energy-efficient low-memory image compression system for multimedia IoT products |
| title_full_unstemmed | An energy-efficient low-memory image compression system for multimedia IoT products |
| title_short | An energy-efficient low-memory image compression system for multimedia IoT products |
| title_sort | energy efficient low memory image compression system for multimedia iot products |
| topic | Multimedia Internet of things Line-based low-memory compression Image quality consistent bit rate control |
| url | http://link.springer.com/article/10.1186/s13640-018-0333-3 |
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