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计算机工程 ›› 2013, Vol. 39 ›› Issue (5): 34-41. doi: 10.3969/j.issn.1000-3428.2013.05.007

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基于动态场景估计的自适应图像增强算法

张 超,杨晶晶,王 盛,陈更生   

  1. (复旦大学专用集成电路与系统国家重点实验室,上海 201203)
  • 收稿日期:2012-06-28 出版日期:2013-05-15 发布日期:2013-05-14
  • 作者简介:张 超(1989-),男,硕士研究生,主研方向:数字图像处理,集成电路芯片设计;杨晶晶,硕士;王 盛,博士研究生;陈更生(通讯作者),高级工程师

Adaptive Image Enhancement Algorithm Based on Dynamic Scene Estimation

ZHANG Chao, YANG Jing-jing, WANG Sheng, CHEN Geng-sheng   

  1. (State Key Laboratory of ASIC & System, Fudan University, Shanghai 201203, China)
  • Received:2012-06-28 Online:2013-05-15 Published:2013-05-14

摘要:

为快速、高效地增强因环境等因素导致质量退化的视频图像,提出一种基于动态场景估计的自适应图像增强算法。该算法采用拉普拉斯算子锐化图像的细节纹理,利用灰度统计的方法判据图像的场景,构建不同场景下的灰度映射函数,并根据动态场景估计的结果自适应地调整图像灰度的动态范围,以提升图像对比度。采用流水线处理技术和数据流行缓存技术完成硬件实现,执行效率高、占用资源少,可满足高清视频流的实时处理。实验结果表明,该算法在避免失真、保留原始语义的同时,能在各种场景下实现高质量的图像增强。

关键词: 动态场景估计, 自适应图像增强, 锐化, 行缓存, 流水线

Abstract:

In order to enhance efficiently a degraded video image in various scenes, a new adaptive image enhancement algorithm is proposed. The new algorithm uses Laplacian operator for extraction of image detail, constructs and uses different grey-level conversion strategy for images in different scenes based on dynamic scene estimation, and adaptively adjusts image’s gray-level range to improve the performance of image enhancement. By using line buffer and pipeline structure, the algorithm has a good timing performance and compact hardware implementation with minimum use of memory resource. Experimental result shows that the proposed algorithm has satisfying performance in each scene, while has a careful protection of image’s original details.

Key words: dynamic scene estimation, adaptive image enhancement, sharpen, line buffer, pipeline

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