The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Kertas kerja ini mencadangkan kaedah untuk meningkatkan kualiti imej anggaran gerakan (ME) menggunakan imej bit rendah. Dengan menggunakan imej yang dipertingkatkan tepi untuk pengkuantitian, kami boleh meningkatkan ketepatan ME dan meningkatkan kualiti imej. Adalah diketahui bahawa menggunakan imej bit rendah untuk ME adalah berkesan untuk mengurangkan penggunaan kuasa tetapi ia sedikit merendahkan kualiti imej. Kualiti imej yang dikodkan bergantung pada ambang untuk pengkuantitian data, oleh itu, algoritma untuk menentukan ambang dikaji. Kaedah yang dicadangkan menggunakan pengkuantitian linear, yang hanya memotong bit yang paling tidak ketara. Kaedah ini mudah tanpa sebarang pengiraan ambang yang rumit, dan kualiti imej yang terhasil dipertingkatkan sama seperti kaedah yang menggunakan pengiraan ambang. Untuk menilai keberkesanan, kami mensimulasikan keputusan untuk kualiti imej dan menganggarkan penggunaan kuasa menggunakan hasil sintesis daripada penganggar gerakan model VHDL.
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Salinan
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
Salinan
@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},}
Salinan
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 -