Improvement of Ringing Artifact Reduction Using a K-Means Method for Color Moving Pictures

被引：0

作者：

Jang, Wonwoo ^{[1
]}

Han, Hagyong ^{[1
]}

Choi, Wontae ^{[2
]}

Lee, Gidong ^{[1
]}

Kang, Bongsoon ^{[1
]}

机构：

[1] Dong A Univ, Pusan 604714, South Korea

[2] SAMSUNG Electromech Co Ltd, Suwon 443803, South Korea

来源：

IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES | 2010年 / E93A卷 / 01期

关键词：

ringing artifacts reduction; K-means method; color moving picture; image processing; MEANS ALGORITHM;

D O I：

10.1587/transfun.E93.A.348

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper proposes an improved method that uses a K-means method to effectively reduce the ringing artifacts in a color moving picture. To apply this improved K-method. we set the number of groups for the process to two (K=2) in the three dimensional R, G, B color space. We then improved the R, G, B color value of all of the pixels by moving the current R, G, B color value of each pixel to calculated center values, which reduced the ringing artifacts. The results were verified by calculating the overshoot and the slope of the light luminance around the edges of test images that had been processed by the new algorithm. We then compared the calculated results with the overshoot and slope of the light luminance of the unprocessed image.

引用

页码：348 / 353

页数：6

共 50 条

[1] RINGING ARTIFACT REDUCTION BY AN EFFICIENT LIKELIHOOD IMPROVEMENT METHOD
FUDERER, M
SCIENCE AND ENGINEERING OF MEDICAL IMAGING, 1989, 1137 : 84 - 90
[2] Classification of Moving Vehicles using K-Means Clustering
Changalasetty, Suresh Babu
Thota, Lalitha Saroja
Badawy, Ahmed Said
Ghribi, Wade
2015 IEEE INTERNATIONAL CONFERENCE ON ELECTRICAL, COMPUTER AND COMMUNICATION TECHNOLOGIES, 2015,
[3] Color quantization using the fast K-means algorithm
Kasuga, Hideo, 1600, Scripta Technica Inc, New York, NY, United States (31):
[4] Improvement in Computation Time of the Finite Multipole Method by Using K-Means Clustering
Yun, Dal-Jae
Jung, In Il
Jung, Haewon
Kang, Hoon
Yang, Woo-Yong
Park, In Yong
IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS, 2019, 18 (09): : 1814 - 1817
[5] Improvement of dependence on initial conditions on moving-objects segmentation using K-means algorithm
Ujo, T.
Imamura, K.
Hashimoto, H.
Kyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers, 2001, 55 (06):
[6] Color segmentation in the HSI color space using the K-means algorithm
Weeks, AR
Hague, GE
NONLINEAR IMAGE PROCESSING VIII, 1997, 3026 : 143 - 154
[7] An Improvement for Human Intestinal Parasites Detection Methodology using k-Means and Fast k-Means Clustering
Khairudin, N. A. A.
Nasir, A. S. A.
Chin, L. C.
Mohamed, Z.
Fook, C. Y.
2020 IEEE-EMBS CONFERENCE ON BIOMEDICAL ENGINEERING AND SCIENCES (IECBES 2020): LEADING MODERN HEALTHCARE TECHNOLOGY ENHANCING WELLNESS, 2021, : 378 - 383
[8] Image segmentation using K-means clustering, Gabor filter and moving mesh method
Shi, Hongjian
Lee, Wan-Lung
IMAGING SCIENCE JOURNAL, 2021, 69 (5-8): : 407 - 416
[9] On Using k-means Clustering for Test Suite Reduction
Chetouane, Nour
Wotawa, Franz
Felbinger, Hermann
Nica, Mihai
2020 IEEE 13TH INTERNATIONAL CONFERENCE ON SOFTWARE TESTING, VERIFICATION AND VALIDATION WORKSHOPS (ICSTW), 2020, : 380 - 385
[10] Color Palette Extraction by Using Modified K-means Clustering
Lertrusdachakul, Thitiporn
Ruxpaitoon, Kanakarn
Thiptarajan, Kasem
2019 7TH INTERNATIONAL ELECTRICAL ENGINEERING CONGRESS (IEECON 2019), 2019,

← 1 2 3 4 5 →