1. A method for mechanically moulding an article that is produced from paperboard or cardboard, comprising a spot of the board is moulded mechanically by moulding tool while irradiation microwave frequency is simultaneously exerted on said spot.
2. A method according to claim 1, wherein the frequency of the radiation used is 1 to 1000 GHz.
3. A method according to claim 1, wherein the irradiation is sufficient for evaporating the moisture contained by the board at the spot being moulded.
4. A method according to claim 1, wherein an irradiation pulse of a short duration is exerted on the spot of the board that is being moulded, said pulse momentarily evaporating humidity contained by the board without causing a significant exit of moisture from the board.
5. A method according to claim 1, wherein the board is moulded by bending, folding andor pressing.
6. A method according to claim 1, the irradiation is started before the spot of the board that is to be moulded is worked by the moulding tool.
7. A method according to claim 1, wherein the duration of the irradiation pulses is about 0.1 to 1.0 seconds.
8. A method according to claim 1, wherein the method is used to provide a local protrusion or reinforcement to an article produced from paperboard.
9. A method according to claim 8, wherein the method provides a rolled-up or folded rim to an article produced from paperboard, such as a container, a drinking cup, a mug or a plate.
10. A method according to claim 8, wherein the method provides a crease or a projection to an article produced from paperboard.
11. A method according to claim 1, wherein said method is used for folding or pressing a paperboard blank into the form of an article.
12. A method according to claim 11, wherein said method is used in the press moulding of paperboard containers or plates.
13. Equipment for moulding an article produced from paperboard or cardboard, comprising a moulding tool that mechanically works the spot of the board being moulded, wherein the equipment further includes a source of microwave frequency radiation, from which an irradiation pulse of a short duration can be exerted on the spot of the board that is being moulded.
14. Equipment according to claim 13, wherein the source of radiation is installed as part of a moving moulding tool.
15. Equipment according to claim 13, wherein the source of radiation is installed as part of a stationary counterpart of the moulding tool.
16. Equipment according to claim 13, wherein the source of radiation is a separate part from the moulding tool andor the counterpart.
17. Equipment according to claim 13, wherein the moulding tool comprises means for producing a rim on the mouth of a paperboard article by rolling up or folding of the board.
18. Equipment according to claim 13, wherein the moulding tool is a compression-moulding press that presses a paperboard blank into the form of a container.
19. Equipment according to claim 13, wherein the equipment is surrounded with a protective casing, which prevents the microwaves from spreading into the environment.
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. An image sharpness processing apparatus, comprising:
an image capturing module, arranged for capturing an image having a plurality of pixels; and
a processing module, arranged for analyzing each of the pixels of the image to obtain a characteristic value corresponding to each of the pixels, using a first sharpening algorithm and a second sharpening algorithm to calculate respectively a first sharpening compensation value and a second sharpening compensation value corresponding to each of the pixels, using the characteristic value to determine a weight value of the first sharpening algorithm and the second sharpening algorithm, calculating a third sharpening compensation value according to the first sharpening compensation value, the second sharpening compensation value and the weight value, and using the third sharpening compensation value to adjust the sharpness of the image.
2. The image sharpness processing apparatus of claim 1, wherein the processing module uses the characteristic value to determine the weight value according to a specific curve.
3. The image sharpness processing apparatus of claim 2, wherein the weight value further comprises a first weight value, a second weight value and a predetermined total weight value, and an abscissa of the specific curve is a numerical value of the characteristic value, and an ordinate of the specific curve is the first weight value of the first sharpening algorithm, and the processing module obtains the first weight value according to a position on the specific curve corresponding to the characteristic value, and further obtains the second weight value of the second sharpening algorithm according to the first weight value and the predetermined total weight value.
4. The image sharpness processing apparatus of claim 3, wherein the processing module adds a product from multiplying the first sharpening compensation value by the first weight value, and a product from multiplying the second sharpening compensation value by the second weight value to obtain the third sharpening compensation value.
5. The image sharpness processing apparatus of claim 1, wherein the first sharpening algorithm is based on a fuzzy theory and the second sharpening algorithm is an unsharp masking.
6. An image sharpness processing method, comprising steps of:
providing an image capturing module to capture an image having a plurality of pixels;
using a processing module to analyze each of the pixels of the image to obtain a characteristic value corresponding to each of the pixels;
using a first sharpening algorithm and a second sharpening algorithm to calculate respectively a first sharpening compensation value and a second sharpening compensation value corresponding to each of the pixels by the processing module;
using the characteristic value to determine a weight value of the first sharpening algorithm and the second sharpening algorithm;
using the processing module to calculate a third sharpening compensation value according to the first sharpening compensation value, the second sharpening compensation value and the weight value; and
using the third sharpening compensation value to adjust the sharpness of the image.
7. The image sharpness processing method of claim 6, wherein the processing module uses the characteristic value to determine the weight value according to a specific curve.
8. The image sharpness processing method of claim 7, wherein the weight value further comprises a first weight value, a second weight value and a predetermined total weight value, and an abscissa of the specific curve is a numerical value of the characteristic value, and an ordinate of the specific curve is the first weight value of the first sharpening algorithm, and the image processing method further comprises the steps of using the processing module to obtain the second weight value of the second sharpening algorithm according to the first weight value on the specific curve corresponding to the characteristic value.
9. The image sharpness processing method of claim 8, further comprising steps of adding a product from multiplying the first sharpening compensation value by the first weight value, and a product from multiplying the second sharpening compensation value by the second weight value to obtain the third sharpening compensation value by the processing module.
10. The image sharpness processing method of claim 6, wherein the first sharpening algorithm is based on a fuzzy theory and the second sharpening algorithm is an unsharp masking.
11. An image sharpness processing apparatus, comprising:
an image capturing module, arranged for capturing an image having a plurality of pixels;
a processing module, arranged for analyzing each of the pixels of the image to obtain a characteristic value corresponding to each of the pixels, using a first sharpening algorithm and a second sharpening algorithm to calculate respectively a first sharpening compensation value and a second sharpening compensation value corresponding to each of the pixels by the processing module, using the characteristic value to determine a weight value of the first sharpening algorithm and the second sharpening algorithm, using the processing module to calculate a third sharpening compensation value according to the first sharpening compensation value, the second sharpening compensation value and the weight value; and
an image adjusting module, arranged for using the third sharpening compensation value to adjust the sharpness of the image.
12. The image sharpness processing apparatus of claim 11, wherein the processing module uses the characteristic value to determine the weight value according to a specific curve.
13. The image sharpness processing apparatus of claim 12, wherein the weight value further comprises a first weight value, a second weight value and a predetermined total weight value, and an abscissa of the specific curve is a numerical value of the characteristic value, and an ordinate of the specific curve is the first weight value of the first sharpening algorithm, and the image processing apparatus further uses the processing module to obtain the first weight value of the first sharpening algorithm according to a position on the specific curve corresponding to the characteristic value and further obtain the second weight value of the second sharpening algorithm according to the first weight value and the predetermined total weight value.
14. The image sharpness processing apparatus of claim 13, wherein the processing module adds a product from multiplying the first sharpening compensation value by the first weight value, and a product from multiplying the second sharpening compensation value by the second weight value to obtain the third sharpening compensation value.
15. The image sharpness processing apparatus of claim 11, wherein the first sharpening algorithm is based on a fuzzy theory and the second sharpening algorithm is an unsharp masking.