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文件名称:04429280
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Histogram equalization is widely used for contrast
enhancement in a variety of applications due to its
simple function and effectiveness. Examples include
medical image processing and radar signal process-
ing. One drawback of the histogram equalization can
be found on the fact that the brightness of an im-
age can be changed after the histogram equalization,
which is mainly due to the flattening property of the
histogram equalization. Thus, it is rarely utilized in
consumer electronic products such as TV where pre-
serving original input brightness may necessary in or-
der not to introduce unnecessary visual deterioration.
This paper proposes a novel extension of histogram
equalization to overcome such drawback of the his-
togram equalization. -Histogram equalization is widely used for contrast
enhancement in a variety of applications due to its
simple function and effectiveness. Examples include
medical image processing and radar signal process-
ing. One drawback of the histogram equalization can
be found on the fact that the brightness of an im-
age can be changed after the histogram equalization,
which is mainly due to the flattening property of the
histogram equalization. Thus, it is rarely utilized in
consumer electronic products such as TV where pre-
serving original input brightness may necessary in or-
der not to introduce unnecessary visual deterioration.
This paper proposes a novel extension of histogram
equalization to overcome such drawback of the his-
togram equalization.
enhancement in a variety of applications due to its
simple function and effectiveness. Examples include
medical image processing and radar signal process-
ing. One drawback of the histogram equalization can
be found on the fact that the brightness of an im-
age can be changed after the histogram equalization,
which is mainly due to the flattening property of the
histogram equalization. Thus, it is rarely utilized in
consumer electronic products such as TV where pre-
serving original input brightness may necessary in or-
der not to introduce unnecessary visual deterioration.
This paper proposes a novel extension of histogram
equalization to overcome such drawback of the his-
togram equalization. -Histogram equalization is widely used for contrast
enhancement in a variety of applications due to its
simple function and effectiveness. Examples include
medical image processing and radar signal process-
ing. One drawback of the histogram equalization can
be found on the fact that the brightness of an im-
age can be changed after the histogram equalization,
which is mainly due to the flattening property of the
histogram equalization. Thus, it is rarely utilized in
consumer electronic products such as TV where pre-
serving original input brightness may necessary in or-
der not to introduce unnecessary visual deterioration.
This paper proposes a novel extension of histogram
equalization to overcome such drawback of the his-
togram equalization.
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