Through analyzing the characteristic of high resolution image obtained by high resolution sensor when the size of sensor
is fixed, a new fast feature point detecting method is put forward. Firstly, detect effective points by sampling in fixed
step, which are used to filter to get extreme feature points, and realize the extraction process of extreme feature points
simplified, then take points with neighborhood domain features as the description of effective points, and obtain extreme
feature points through the preset threshold calculation, finally, obtain correct feature points by filtering. At last the effect
of the extraction method was validated by the image matching result. And the matching result shows that image’s
features extracted by this method could ensure the precision and decrease the computation at the same time.
KEYWORDS: High dynamic range imaging, Image processing, Data conversion, RGB color model, Visualization, Data modeling, Optoelectronics, Image visualization, Imaging devices, Visual process modeling
This paper presents a High Dynamic Range algorithm based on HSI color space. To keep hue and saturation of original
image and conform to human eye vision effect is the first problem, convert the input image data to HSI color space
which include intensity dimensionality. To raise the speed of the algorithm is the second problem, use integral image
figure out the average of every pixel intensity value under a certain scale, as local intensity component of the image, and
figure out detail intensity component. To adjust the overall image intensity is the third problem, we can get an S type
curve according to the original image information, adjust the local intensity component according to the S type curve. To
enhance detail information is the fourth problem, adjust the detail intensity component according to the curve designed in
advance. The weighted sum of local intensity component after adjusted and detail intensity component after adjusted is
final intensity. Converting synthetic intensity and other two dimensionality to output color space can get final processed
image.
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