Last updated on 3
May. 2007 |
Smart Edges RUS ENG
The commercial project made for presentation of new algorithm of
scaling of raster images. All rights on application of the given algorithm
belong to the author of the project. |
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Smart Picsel New Mosaic Denoise Deconvolution Dequantization |
Smart Edges - the new method for
creation smart edges directions map.
In a method described in patent
Unlike usual adaptive algorithms where the method of calculation of
brightness for each element of the formed image depends only on corresponding
value in a map of directions of edges, in an offered method for increase in
accuracy it is offered to consider and a degree contrast edges. Unlike usual
methods of map development of directions the offered method has an
opportunity of optimization of parameters of algorithm from the point of view
of accuracy and speeds depending on requirements and for each case of
realization. In order to confirm above, I suggest to get familiar with practical realization of the
algorithm on the well known examples of tasks and solutions. As the
test the following representation has been chosen: To see the picture click on the fragment Test - rings Test - lhouse Original image was reduced 0.5X using a box convolution kemel. Example interpolation with a new map of edges RS-M-spline2 - New updating of algorithm which differs from the previous version
(RS-M-Spline) application of a new smart edges directions map. As a result of introduction in algorithm of adaptive
to local orientation of edge the mistake of interpolation or a filtration has
essentially decreased. Test - lhouse Original image was reduced 0.5X using a box
convolution Kemel. Before
After RMSE
11.52 Low resolution image was enlarged 2X by variety of
methods. RS-M-Spline (without
smart edges direction map) RS-M-Spline2 (with
smart edges direction map) RMSE
9.23
RMSE 8.86 DJ-spline2 - New updating
of algorithm which differs from the previous version (DJ-M-Spline) application
of a new smart edges
directions map. As a result of introduction in algorithm
of adaptive to local orientation of edge the mistake of interpolation or a
filtration has essentially decreased. Test - lhouse Original image was reduced 0.5X using a box
convolution kemel and has been compressed. Before
Atter RMSE
12.73 The compressed image has been restored by
means of algorithm DJ-spline
and DJ-spline2 The resolution of image will be
enlarged by 2 times DJ-M-Spline (without
smart edges direction map)
DJ-M-Spline2 (with
smart edges direction map) RMSE
11.21
RMSE 10.92 The
opportunity of realization in other areas is at the moment studied. vitalybn@fpy.ru resampling@yandex.ru |