基于边缘方向投影的图像块修复方法

doi:1000-436X(2008)01-0030-09

摘要/Abstract

摘要：

压缩图像在传输中，信道干扰常导致图像块数据丢失。给出一种基于边缘方向投影的图像损失块修复方法。按照周围邻域未损失像素的边缘方向信息将损失块分类，并根据类别用结合频域和空域信息的凸集投影算法自适应地修复损失块。能较好地修复图像边缘和复杂纹理。与RIBMAP方法相比，此方法在修复质量和算法顽健性上均有提高。

关键词: 图像块修复, 边缘方向, 凸集投影, 自适应

Abstract:

In compressed image transmission,channel interference often results in data missing in image blocks.A method was presented based on edge orientation projections for recovery of missing image blocks.The missing block was classified through edge orientation information of the surrounding neighborhood,and was recovered using POCS algorithm by combining frequency and spatial domain information according the class.The proposed method can restore image edge and complex texture satisfactorily.Experimental comparison with RIBMAP shows obvious improvement of the proposed method in restored image quality and robustness.

Key words: recovery of image blocks, edge orientation, projections onto convex sets, adaptive

葛仕明,程义民,曾丹,何兵兵. 基于边缘方向投影的图像块修复方法[J]. 通信学报, 2008, 29(1): 30-38.

Shi-ming GE,Yi-min CHENG,Dan ZENG,Bing-bing HE. Recovery of image blocks using the method of edge orientation projections[J]. Journal on Communications, 2008, 29(1): 30-38.

图/表 12

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表1

一组灰度图像的实验结果(图像大小为512×512，损失块大小为8×8)"

修复方法评价		$R_{P S N} / d B$			$E_{M A}$			$E_{V A}$
修复方法评价	RIBMAP方法	本文(m=0)	本文(m=1)	RIBMAP方法	本文(m=0)	本文(m=1)	RIBMAP方法	本文(m=0)	本文(m=1)
Lena	34.65	36.43	35.74	5.4	4.5	4.8	64.8	43.2	50.4
Masquerade	29.87	32.74	31.92	10.0	7.5	8.3	184.3	91.7	108.7
Peppers	34.20	35.75	34.91	5.9	5.4	5.8	69.3	44.7	55.5
Boat	30.78	33.86	31.51	9.1	8.3	8.6	147.4	119.1	121.6
Elaine	34.63	36.15	35.68	6.8	6.0	6.2	47.1	31.4	36.0
Couple	31.49	32.41	31.65	7.2	7.6	7.4	143.6	101.2	119.8
平均	32.60	34.56	33.57	7.4	6.6	6.9	109.4	71.9	82.0

表1

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参考文献 11

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