1. A bearing anti creep system comprising:
a) an anti creep ball;
b) a first socket defined in a mounting surface of a bearing for partially receiving the anti creep ball therein;
c) a second socket is defined in a mating surface, the second socket for partially receiving the anti creep ball therein;
d) such that when said mounting surface of the bearing mounted onto the mating surface and the anti creep ball mounted simultaneously in adjacent first and second sockets, the anti creep ball prevents rotational creep of the bearing mounting surface relative to the mating surface, wherein the mounting surface is a bearing face of an outer race of the bearing.
2. The bearing anti creep system claimed in claim 1 wherein the mounting surface is a bearing face of an inner race of the bearing.
3. The bearing anti creep system claimed in claim 1 wherein the mating surface is a shoulder defined in a housing for receiving the bearing therein.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
1. A method for processing an image to increase sharpness of the image without changing hue characteristics, the method comprising:
(a) performing a transformation process to transform an original image signal into CIE XYZ colorimetric channels;
(b) forming a luminance channel Y;
(c) applying a filter on the luminance channel Y to obtain a processed luminance channel Y\u2033;
(d) computing processed colorimetric channels X\u2033 and Z\u2033 based on the processed luminance channel Y\u2033; and
(e) performing an inverse transformation process to transform the processed colorimetric channels X\u2033Y\u2033Z\u2033 into a processed image signal.
2. The method of claim 1 wherein the filter applied in step (c) is an unsharp masking (USM) filter.
3. The method of claim 1 wherein the filter applied in step (c) is a sharpness filter.
4. The method of claim 1 wherein in step (a) the transformation process comprises transforming RGB values of the original image signal into CIE XYZ colorimetric channels.
5. The method of claim 4 wherein in step (e) the inverse transformation process comprises transforming the processed colorimetric channels X\u2033Y\u2033Z\u2033 into R\u2033G\u2033B\u2033 values of the processed image signal.
6. The method of claim 1 wherein in step (a) the transformation process comprises transforming CMYK values of the original image signal into CIE XYZ colorimetric channels.
7. The method of claim 6 wherein in step (e) the inverse transformation process comprises transforming the processed colorimetric channels X\u2033Y\u2033Z\u2033 into C\u2033M\u2033Y\u2033K\u2033 values of the processed image signal.
8. The method of claim 1 wherein in step (d) a relationship between the processed colorimetric channel X\u2033 and the colorimetric channel X satisfies the equation
X\u2033=(XY)*Y\u2033.
9. The method of claim 1 wherein in step (d) a relationship between the processed colorimetric channel Z\u2033 and the colorimetric channel Z satisfies the equation
Z\u2033=(ZY)*Y\u2033.
10. An image processing apparatus for implementing the method of claim 1.