Joint Multi-Focus Fusion and Bayer ImageRestoration

• 来源期刊: 信息工程期刊：中英文版
• 学科: 工学
• 关键词: Multi-Focus IMAGE FUSION BAYER PATTERN Superpixel DEMOSAICING
• 年，卷（期）: 2015,（3）
• 页码范围: 67-72
• 页数: 6页
• 分类号: TP

摘要

In this paper, a joint multifocus image fusion and Bayer pattern image restoration algorithm for raw images of single-sensor colorimaging devices is proposed. Different from traditional fusion schemes, the raw Bayer pattern images are fused before colorrestoration. Therefore, the Bayer image restoration operation is only performed one time. Thus, the proposed algorithm is moreefficient than traditional fusion schemes. In detail, a clarity measurement of Bayer pattern image is defined for raw Bayer patternimages, and the fusion operator is performed on superpixels which provide powerful grouping cues of local image feature. Theraw images are merged with refined weight map to get the fused Bayer pattern image, which is restored by the demosaicingalgorithm to get the full resolution color image. Experimental results demonstrate that the proposed algorithm can obtain betterfused results with more natural appearance and fewer artifacts than the traditional algorithms.