14-08-2012, 03:47 PM
Spatial Domain Methods – Basic Gray Level Transformations 2
03Basic Gray Level Transformations 2.ppt (Size: 1.05 MB / Downloads: 25)
Objectives:
To learn about the piecewise linear transformation functions, its types and applications.
Piecewise – Linear Transformation Functions:
Some important transformations can be formulated only as piecewise functions.
It requires more user input.
The methods are
Contrast stretching
Gray level slicing
Bit plane slicing
Contrast Stretching:
It is the simplest method of piecewise linear functions.
The low contrast images can result from poor illumination, lack of dynamic range in the imaging sensor or even wrong setting of a lens aperture during image acquisition.
By using contrast stretching, the dynamic range of the gray levels in the image is changed.
Bit – plane slicing:
Separating a digital image into its bit planes is useful for analyzing the relative importance played by each bit of the image, a process that aids in determining the adequacy of the number of bits used to quantize each pixel.
It is useful for image compression.
03Basic Gray Level Transformations 2.ppt (Size: 1.05 MB / Downloads: 25)
Objectives:
To learn about the piecewise linear transformation functions, its types and applications.
Piecewise – Linear Transformation Functions:
Some important transformations can be formulated only as piecewise functions.
It requires more user input.
The methods are
Contrast stretching
Gray level slicing
Bit plane slicing
Contrast Stretching:
It is the simplest method of piecewise linear functions.
The low contrast images can result from poor illumination, lack of dynamic range in the imaging sensor or even wrong setting of a lens aperture during image acquisition.
By using contrast stretching, the dynamic range of the gray levels in the image is changed.
Bit – plane slicing:
Separating a digital image into its bit planes is useful for analyzing the relative importance played by each bit of the image, a process that aids in determining the adequacy of the number of bits used to quantize each pixel.
It is useful for image compression.