Histogramequalization Based Methods For Brightness Preservation And Local Content Emphasis

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dc.contributor.authorNicholas Sia, Pik Kong
dc.date.accessioned2018-08-20T03:40:58Z
dc.date.available2018-08-20T03:40:58Z
dc.date.issued2009-12
dc.description.abstractGlobal Histogram Equalization (GHE) is one of the well-known image enhancement methods. Despite of its simplicity and popularity, GHE still has limitations. Therefore, in this work, two novel Histogram Equalization (HE) based methods have been proposed, which are Brightness Preserving Dynamic Histogram Equalization (BPDHE) and Multi-Levels Block Overlapped Histogram Equalization (MLBOHE). BPDHE is equipped with brightness preserving ability, i.e. one of the requirements for the implementation in consumer electronic products. BPDHE consists of seven steps, which are histogram creation, interpolation process, smoothing process, local maximums detection process, mapping process, HE process, and brightness normalization process. From the comparison of BPDHE with GHE and seven other Mean Brightness Preserving Histogram Equalization (MBPHE) based methods, it is shown that BPDHE is the best in terms of brightness preservation. Its Average Absolute Mean Brightness Error (AAMBE) is only 1.06.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/6374
dc.language.isoenen_US
dc.publisherUniversiti Sains Malaysiaen_US
dc.subjectHistogramequalization Based Methodsen_US
dc.subjectBrightness Preservation And Local Content Emphasisen_US
dc.titleHistogramequalization Based Methods For Brightness Preservation And Local Content Emphasisen_US
dc.typeThesisen_US
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Pusat Pengajian Kejuruteraaan Elektrik dan Elektronik - Tesis