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|Title: ||An adaptive constrained least square approach for removing blocking effect|
|Authors: ||Hong, Sung-wai|
|Subjects: ||Computational complexity|
Least squares approximations
|Issue Date: ||1995 |
|Citation: ||1995 IEEE International Symposium on Circuits and Systems : Seattle, Washington, USA, April 30-May 3, 1995, p. 773-776.|
|Abstract: ||This paper presents a new adaptive objective function based on the regularized iterative block reduction technique for low-bit rate transform coded images. Also, a better initial estimate for the regularization approach is presented. Two types of prior knowledge are used: the first type bounds the maximum tolerable error (roughness), and the second type restricts the high-frequency content (smoothness) of the restored images. Computer simulations showed that the new adaptive objective function with the proposed initial estimate performed better on both subjective and objective measures than did a previously proposed objective function.|
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|Type: ||Conference Paper|
|Appears in Collections:||EE Conference Papers & Presentations|
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