New histogram equalization based detail and brightness preserving techniques for digital images
| dc.contributor.author | Chen Hee, Ooi | |
| dc.date.accessioned | 2015-07-29T08:33:20Z | |
| dc.date.available | 2015-07-29T08:33:20Z | |
| dc.date.issued | 2010 | |
| dc.description.abstract | Although Histogram Equalization (HE) is widely used as a contrast enhancement method because of its effectiveness and simplicity, it tends to produce mean brightness change, intensity saturation problem and noise amplification. Therefore, two novel brightness preservation methods, namely Brightness Preserving Plateau •. Limit Histogram Equalization (BPPLHE) and Quantized Plateau Limit Bi-Histogram Equalization (QPLBHE) are proposed. The method for preserving mean brightness is under a very high demand, especially where consumer electronic products are concerned, like the television, monitor etc. The experiment results show that, both of the proposed methods outperform those conventional methods by producing clearer, more visually-enhanced images with brightness preservation ability. However, brightness preservation methods are usually incapable in enhancing the contrast of the low-lighted backgrounds of the images due to the non-expandable side subhistogram. Therefore, a detail preservation method is proposed, namely Detail Preserving Plateau Limit Histogram Equalization (DPPLHE). From the results of the experiments, the proposed DPPLHE is the most robust method in extracting the details of the low contrast images. Observing from the simulation results obtained, the DPPLHE has produced the better performance from the perspectives of both qualitative and quantitative evaluations. It is suitable for images captured in lowlighted environment - unavoidable situation faced by many electronics products such as camera devices in cell phone. | en_US |
| dc.identifier.uri | http://hdl.handle.net/123456789/864 | |
| dc.language.iso | en | en_US |
| dc.subject | Equalization base | en_US |
| dc.subject | Preserving techniques | en_US |
| dc.subject | Digital images | en_US |
| dc.title | New histogram equalization based detail and brightness preserving techniques for digital images | en_US |
| dc.type | Thesis | en_US |
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