Image enhancement (Nâng cao chất lượng hình ảnh) - Pdf 35

Trường Cao Đẳng Nguyễn Tấấ
t Thành

Image Enhancement

Ngành kỹ thuật y sinh


Content



DSA



Dual energy



Gray scale transforms



Histogram transformation


Digital subtraction angiography


DSA

Xương và các cấấu trúc có canxi hấấp thu tia thành phấền X năng lượng thấấp còn tia X năng
lượng cao có thể đi qua những mố có mật độ thấấp


Dual energy


Dual energy


Gamma correction


Gamma correction


Gamma correction



γ = 0.3 1 2


Gamma correction



γ = 0.3

γ=1

dynamic range of the image and the height of each bar corresponds to the sample count or
the probability.
 The spread of the histogram relates directly to image contrast where
 narrow histogram distributions are representative of low contrast images
 wide distributions are representative of higher contrast images.

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Histogram Example

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Histogram Example

The image is characterized by low contrast. This is reflected in the histogram which shows that most samples are in a
narrow region of the dynamic range (little information below 40 or above 190).

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Some Typical Histograms
• The

shape of a histogram provides useful information for

contrast enhancement.

Dark image


Histogram Equalization



Histogram equalization is a way of improving the local contrast of an image without altering
the global contrast.
 This method is especially useful in images having large regions of similar tone such as an image with a very
light background and dark foreground.

 Histogram equalization can expose hidden details in an image by stretching out the contrast of local regions
and hence making the differences in the region more pronounced and visible.

 Non-linear point processing technique that attempts to flatten the histogram such that there are equal
numbers of each sample value in the image.

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Example

Original image and its histogram



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