Wavelet based image enhancement by using local partial dark and bright contrast for leukemia images

Abstract EN

Leukaemia is a malignant disease (cancer) that affects people in any age either they are children or adults over 50 years old.

Nowadays, there are screening system guidelines for leukaemia patients.

The screening result from looking at asample of patient blood, can determine the abnormal levels of white blood cells,which may suggest leukaemia for further diagnostic stage.

Therefore, medical professional using medical images to diagnose leukemia.

However, there are blurness and effects of unwanted noise on blood leukaemia images that sometimes result in false diagnosis.

Thus image pre -processing such as image enhancement techniques are needed to improve this situation .

In this paper ,three techniques are proposed based on wavelet transform and local contrast, dark contrast ,bright contrast and partial contrast.

All techniques applied on the leukaemia images.

The comparison for all the proposed image enhancement techniques was carried out to find the best technique to enhance the acute leukaemia images.

The results show that the wavelet based partial contrast stretching is the best technique that helps to improve the image quality