IEICE TRANSACTIONS on Fundamentals
Motion Estimation Using Edge Enhanced Low-Bit Images for Lowpower MPEG Encoder
Summary :
This paper propose a method for improving the image quality of motion estimation (ME) using low-bit images. By using edge-enhanced images for quantization, we can increase the accuracy of the ME and improve the image quality. It is known that using low-bit images for ME is effective for reducing power consumption but it slightly degrades image quality. The quality of the encoded image depends on the thresholds for data quantization, thus, algorithms for determining thresholds are studied. The proposed method uses linear quantization, which simply truncates the least significant bits. This method is simple without any complicated threshold calculations, and the resultant image quality is improved as much as the methods that use threshold calculations. To evaluate the effectiveness, we simulate results for image quality and estimate the power consumption using synthesis results from a VHDL model motion estimator.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E84-A No.8 pp.1900-1908
- Publication Date
- 2001/08/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- Special Section PAPER (Special Section on Digital Signal Processing)
- Category
- Image/Visual Signal Processing
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Ayuko TAKAGI, Kiyoshi NISHIKAWA, Hitoshi KIYA, "Motion Estimation Using Edge Enhanced Low-Bit Images for Lowpower MPEG Encoder" in IEICE TRANSACTIONS on Fundamentals,
vol. E84-A, no. 8, pp. 1900-1908, August 2001, doi: .
Abstract: This paper propose a method for improving the image quality of motion estimation (ME) using low-bit images. By using edge-enhanced images for quantization, we can increase the accuracy of the ME and improve the image quality. It is known that using low-bit images for ME is effective for reducing power consumption but it slightly degrades image quality. The quality of the encoded image depends on the thresholds for data quantization, thus, algorithms for determining thresholds are studied. The proposed method uses linear quantization, which simply truncates the least significant bits. This method is simple without any complicated threshold calculations, and the resultant image quality is improved as much as the methods that use threshold calculations. To evaluate the effectiveness, we simulate results for image quality and estimate the power consumption using synthesis results from a VHDL model motion estimator.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e84-a_8_1900/_p
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@ARTICLE{e84-a_8_1900,
author={Ayuko TAKAGI, Kiyoshi NISHIKAWA, Hitoshi KIYA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Motion Estimation Using Edge Enhanced Low-Bit Images for Lowpower MPEG Encoder},
year={2001},
volume={E84-A},
number={8},
pages={1900-1908},
abstract={This paper propose a method for improving the image quality of motion estimation (ME) using low-bit images. By using edge-enhanced images for quantization, we can increase the accuracy of the ME and improve the image quality. It is known that using low-bit images for ME is effective for reducing power consumption but it slightly degrades image quality. The quality of the encoded image depends on the thresholds for data quantization, thus, algorithms for determining thresholds are studied. The proposed method uses linear quantization, which simply truncates the least significant bits. This method is simple without any complicated threshold calculations, and the resultant image quality is improved as much as the methods that use threshold calculations. To evaluate the effectiveness, we simulate results for image quality and estimate the power consumption using synthesis results from a VHDL model motion estimator.},
keywords={},
doi={},
ISSN={},
month={August},}
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TY - JOUR
TI - Motion Estimation Using Edge Enhanced Low-Bit Images for Lowpower MPEG Encoder
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1900
EP - 1908
AU - Ayuko TAKAGI
AU - Kiyoshi NISHIKAWA
AU - Hitoshi KIYA
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E84-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2001
AB - This paper propose a method for improving the image quality of motion estimation (ME) using low-bit images. By using edge-enhanced images for quantization, we can increase the accuracy of the ME and improve the image quality. It is known that using low-bit images for ME is effective for reducing power consumption but it slightly degrades image quality. The quality of the encoded image depends on the thresholds for data quantization, thus, algorithms for determining thresholds are studied. The proposed method uses linear quantization, which simply truncates the least significant bits. This method is simple without any complicated threshold calculations, and the resultant image quality is improved as much as the methods that use threshold calculations. To evaluate the effectiveness, we simulate results for image quality and estimate the power consumption using synthesis results from a VHDL model motion estimator.
ER -
English
