De-Interlacing Algorithm Based on Moving Objects

GAO Xin-bo; GU Jun-xia; LI Jie

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De-Interlacing Algorithm Based on Moving Objects

更新时间：2025-07-16

- De-Interlacing Algorithm Based on Moving Objects
- Acta Electronica Sinica Vol. 33, Issue 6, Pages: 1066-1069(2005)
- 作者机构：
  
  西安电子科技大学电子工程学院,陕西,西安,710071
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN919TP391
- Published：2005
- 稿件说明：
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GAO Xin-bo, GU Jun-xia, LI Jie. De-Interlacing Algorithm Based on Moving Objects[J]. Acta Electronica Sinica, 2005, 33(6): 1066-1069.
DOI：

GAO Xin-bo, GU Jun-xia, LI Jie. De-Interlacing Algorithm Based on Moving Objects[J]. Acta Electronica Sinica, 2005, 33(6): 1066-1069. DOI：

摘要

本文提出一种新颖的基于运动目标的De-interlace算法.该算法以实际的运动目标作为操作对象

引入一种较精确的运动目标提取方法

并采用免疫克隆选择算法加速匹配目标的搜索过程.新算法融合了运动补偿、中值滤波、Weave、Bob等De-interlace方法.与流行的基于运动块补偿的De-interlace算法相比

新算法更适应复杂的视频序列

不仅可以处理平移运动

还适用于旋转、尺度变换等复杂运动情况.实验结果表明新算法的整体性能优于基于块匹配的方法.

Abstract

A novel de-interlacing algorithm based on moving objects is presented.In this algorithm

natural moving objects

not contrived blocks

are considered as the processing basic cells.And an accurate method is introduced to detect the moving objects with the immune clonal selection algorithm accelerating the search process for matching objects.This algorithm integrates many other de-interlacing methods such as motion compensation

median filtering

Weave and Bob

so it is more adaptive to various complex video sequences.Moreover

it can perform the motion compensation for the objects with not only the translation

but also the rotation and scaling transform.The experimental results illustrate that compared with the block matching method with full search

the new de-interlacing algorithm greatly improve the efficiency and performance.

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Related Institution

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