Abstract
In this paper, we study the recovery of lost or erroneous transform coefficients in image and video communication systems employing discrete cosine transform (DCT)-based codecs. Previously, we have developed a technique that exploits the smoothness property of image signals and recovers the damaged blocks by maximizing a smoothness measure. There, the first-order derivative was used as the smoothness measure, which can lead to the blurring of sharp edges. In order to alleviate this problem, we propose to use second-order derivatives as the smoothness measure. Our simulation results show that a weighted combination of the quadratic variation and the Laplacian operator can significantly reduce the blurring across the edges while enforcing smoothness along the edges.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 713-718 |
| Number of pages | 6 |
| Journal | IEEE Transactions on Circuits and Systems for Video Technology |
| Volume | 8 |
| Issue number | 6 |
| DOIs | |
| State | Published - 1998 |
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Keywords
- DCT-based codec
- Error concealment
- Image communications
- Packet loss recovery
- Second-order derivative
- Smoothness measure
ASJC Scopus subject areas
- Electrical and Electronic Engineering
Cite this
Second-order derivative-based smoothness measure for error concealment in DCT-based codecs. / Zhu, Wenwu; Wang, Yao; Zhu, Qin Fan.
In: IEEE Transactions on Circuits and Systems for Video Technology, Vol. 8, No. 6, 1998, p. 713-718.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Second-order derivative-based smoothness measure for error concealment in DCT-based codecs
AU - Zhu, Wenwu
AU - Wang, Yao
AU - Zhu, Qin Fan
PY - 1998
Y1 - 1998
N2 - In this paper, we study the recovery of lost or erroneous transform coefficients in image and video communication systems employing discrete cosine transform (DCT)-based codecs. Previously, we have developed a technique that exploits the smoothness property of image signals and recovers the damaged blocks by maximizing a smoothness measure. There, the first-order derivative was used as the smoothness measure, which can lead to the blurring of sharp edges. In order to alleviate this problem, we propose to use second-order derivatives as the smoothness measure. Our simulation results show that a weighted combination of the quadratic variation and the Laplacian operator can significantly reduce the blurring across the edges while enforcing smoothness along the edges.
AB - In this paper, we study the recovery of lost or erroneous transform coefficients in image and video communication systems employing discrete cosine transform (DCT)-based codecs. Previously, we have developed a technique that exploits the smoothness property of image signals and recovers the damaged blocks by maximizing a smoothness measure. There, the first-order derivative was used as the smoothness measure, which can lead to the blurring of sharp edges. In order to alleviate this problem, we propose to use second-order derivatives as the smoothness measure. Our simulation results show that a weighted combination of the quadratic variation and the Laplacian operator can significantly reduce the blurring across the edges while enforcing smoothness along the edges.
KW - DCT-based codec
KW - Error concealment
KW - Image communications
KW - Packet loss recovery
KW - Second-order derivative
KW - Smoothness measure
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UR - http://www.scopus.com/inward/citedby.url?scp=0032182456&partnerID=8YFLogxK
U2 - 10.1109/76.728413
DO - 10.1109/76.728413
M3 - Article
VL - 8
SP - 713
EP - 718
JO - IEEE Transactions on Circuits and Systems for Video Technology
JF - IEEE Transactions on Circuits and Systems for Video Technology
SN - 1051-8215
IS - 6
ER -