Adaptive De-blocking Algorithm for the Wedgelets Reconstructed Image

XIE Fang; DUAN Chang; CAO Jian-shu

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Adaptive De-blocking Algorithm for the Wedgelets Reconstructed Image

更新时间：2026-09-04

- Adaptive De-blocking Algorithm for the Wedgelets Reconstructed Image
- Vol. 31, Issue 6, Pages: 57-59(2014)
- 作者机构：
  
  电子科技大学电子科学技术研究院,四川,成都,611731
- 作者简介：
- 基金信息：
- DOI：
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- Published：2014
- 稿件说明：
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谢芳, 段昶, 曹建蜀. 一种针对wedgelet重建图像的空域自适应去块效应算法[J]. 微电子学与计算机, 2014, 31(6): 57-59,63.

XIE Fang, DUAN Chang, CAO Jian-shu. Adaptive De-blocking Algorithm for the Wedgelets Reconstructed Image[J]. 2014, 31(6): 57-59.
谢芳, 段昶, 曹建蜀. 一种针对wedgelet重建图像的空域自适应去块效应算法[J]. 微电子学与计算机, 2014, 31(6): 57-59,63. DOI：

XIE Fang, DUAN Chang, CAO Jian-shu. Adaptive De-blocking Algorithm for the Wedgelets Reconstructed Image[J]. 2014, 31(6): 57-59. DOI：

摘要

提出一种针对wedgelet重建图像的空域自适应去块效应算法.算法针对不同图像块之间块效应的强弱程度，合理调整块边缘滤波像素的个数，从而实现自适应地消除块效应.仿真结果表明，该算法在较好地保留了图像的纹理和边缘的同时能有效地去除图像的块效应.

Abstract

In this paper

a novel adaptive de-blocking algorithm for the wedgelet reconstructed image is proposed which can reduce the boundaries discontinuities according to the strength of blocking artifacts. From the experiments

the proposed method can effectively reduce the artifacts and improve the PSNR. And the improvement of PSNR is better than several conventional de-blocking methods based on weighted-sum.

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