Abstract
In order to utilize the liquid crystal display (LCD) overdrive technique, it is necessary to store the previous frame in frame memory and compress the frame to reduce the memory burden, in particular, when the frame size is large. When an image is displayed in the LCD, the motion blur mainly occurs near the edge, so that structural information is very important when compressing the image. Recently, a structural similarity (SSIM) index has been proposed to measure the quality based on the image structure. In this paper, we propose an image compression and adaptive mode selection algorithm for maximizing the SSIM performance. In the simulation results, we compare our results with conventional schemes and demonstrate that the SSIM based scheme provides a significant performance improvement.
| Original language | English |
|---|---|
| Article number | 6414996 |
| Pages (from-to) | 1276-1284 |
| Number of pages | 9 |
| Journal | IEEE Transactions on Consumer Electronics |
| Volume | 58 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 2012 Dec 1 |
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All Science Journal Classification (ASJC) codes
- Media Technology
- Electrical and Electronic Engineering
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Structural similarity based image compression for LCD overdrive. / Park, Jincheol; Lee, Sanghoon.
In: IEEE Transactions on Consumer Electronics, Vol. 58, No. 4, 6414996, 01.12.2012, p. 1276-1284.Research output: Contribution to journal › Article
TY - JOUR
T1 - Structural similarity based image compression for LCD overdrive
AU - Park, Jincheol
AU - Lee, Sanghoon
PY - 2012/12/1
Y1 - 2012/12/1
N2 - In order to utilize the liquid crystal display (LCD) overdrive technique, it is necessary to store the previous frame in frame memory and compress the frame to reduce the memory burden, in particular, when the frame size is large. When an image is displayed in the LCD, the motion blur mainly occurs near the edge, so that structural information is very important when compressing the image. Recently, a structural similarity (SSIM) index has been proposed to measure the quality based on the image structure. In this paper, we propose an image compression and adaptive mode selection algorithm for maximizing the SSIM performance. In the simulation results, we compare our results with conventional schemes and demonstrate that the SSIM based scheme provides a significant performance improvement.
AB - In order to utilize the liquid crystal display (LCD) overdrive technique, it is necessary to store the previous frame in frame memory and compress the frame to reduce the memory burden, in particular, when the frame size is large. When an image is displayed in the LCD, the motion blur mainly occurs near the edge, so that structural information is very important when compressing the image. Recently, a structural similarity (SSIM) index has been proposed to measure the quality based on the image structure. In this paper, we propose an image compression and adaptive mode selection algorithm for maximizing the SSIM performance. In the simulation results, we compare our results with conventional schemes and demonstrate that the SSIM based scheme provides a significant performance improvement.
UR - http://www.scopus.com/inward/record.url?scp=84873869491&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84873869491&partnerID=8YFLogxK
U2 - 10.1109/TCE.2012.6414996
DO - 10.1109/TCE.2012.6414996
M3 - Article
VL - 58
SP - 1276
EP - 1284
JO - IEEE Transactions on Consumer Electronics
JF - IEEE Transactions on Consumer Electronics
SN - 0098-3063
IS - 4
M1 - 6414996
ER -