Histogramequalization Based Methods For Brightness Preservation And Local Content Emphasis
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Date
2009-12
Authors
Nicholas Sia, Pik Kong
Journal Title
Journal ISSN
Volume Title
Publisher
Universiti Sains Malaysia
Abstract
Global 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.
Description
Keywords
Histogramequalization Based Methods , Brightness Preservation And Local Content Emphasis