As the traditional algorithms for local histogram equalization is used to enhance the contrast of an image,the output brightness is always regardless of the input image.

This pa-per proposed a method which is partially overlapped local histogram equalization based on maximum entropy and brightness preserving(Local BPHEME).

A brightness preservation partially overlapped local histogram equalization algorithm which can preserve the brightness is proposed.

This paper focuses on the study of Local Area Histogram Equalization (LAHE) and its applications in pneumoconiosis X-ray films enhancements.

Ultrasound image contrast enhancement based on histogram equalization and wavelet transformation;

Histogram equalization algorithm based on adaptive localgray level modification;

X-ray images have the property of wide dynamic range,but human can t distinguish so tiny difference,an algorithm,based on contrast limited adaptive histogram equalization,is provided for resolving these problems.

This paper presents a new image fusion scheme based on local histogram matching filtering techniques for fusing high resolution panchromatic and multi spectral images.

In order to solve these problems,the author proposes a new algorithm based on overlapping sub-block splitting which gives each block a weight value after getting its local histogram,.

To this end, a laser radar range image suppression algorithm based on local histogram is put forward: Apply the local histogram to judge pixel anomalies and remove by optimum distance so as to achieve range anomalies suppression.