Complex ensemble empirical mode decomposition and alpha-rooting for image contrast enhancement

Bakhtiari, Somayeh; Agaian, Sos S.; Jamshidi, Mo

doi:10.1117/12.887424

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2011

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“…Likewise, this method suffers from high computational load. A number of EMD-based methods have been developed for enhancement of the medical images [19][20], underwater images [21], hazy images [22] and other low quality images. A drawback with the existing EMD-based enhancement methods is that they do not perform well on some special signals or images.…”

Section: Introductionmentioning

confidence: 99%

An enhanced Empirical Mode Decomposition based method for image enhancement

Bakhtiari

Agaian²,

Jamshidi³

2011

2011 IEEE International Conference on Systems, Man, and Cybernetics

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In this paper, a new extension of Bidimensional Empirical Mode Decomposition (BEMD) based on the median filtering is presented. The new scheme is compared with the traditional Empirical Mode Decomposition (EMD) and Fast and Adaptive Bidimensional EMD (FABEMD) techniques. The new scheme manifests to be superior to both of them in image enhancement and particularly in edge enhancement. The comparison is performed, objectively, using the measure of enhancement (EME) and also visually. Furthermore, we show that by applying different thresholds in stopping condition for each Intrinsic Mode Function (IMF), we can derive more accurate IMFs.

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Section: Introductionmentioning

confidence: 99%