1. A portable computer system for operating a plurality of peripheral devices according to a plurality of external port signals, the portable computer system comprising:
an integrated device, which has a wireless transmission interface and a first signal processor connected to the peripheral devices, for controlling the peripheral devices according to the external port signals; and
a portable computer having the wireless transmission interface and a second signal processor, wherein the second signal processor is for arbitrating the external port signals to set priorities thereof, adding user identification information of the portable computer and encoding the external port signals to produce an encoded signal according to the priorities;
wherein the integrated device and the portable computer receiveoutput the encoded signal through the wireless transmission interface, and after the second signal processor feeds the encoded signal to the first signal processor, the first signal processor decodes the encoded signal to generate the external port signals and recognize the user identification information to control the peripheral devices.
2. The portable computer system according to claim 1, wherein the integrated device is a docking station.
3. The portable computer system according to claim 1, wherein the integrated device is an external port replicator.
4. The portable computer system according to claim 1, wherein the external port signals comprises monitor port signals, serial port signals, parallel port signals, PS2 port signals, USB port signals, IEEE 1394 port signals, signals of port for external storage drive, audio ports signals or network port (LAN port) signals.
5. A portable computer system for operating a plurality of peripheral devices according to a plurality of external port signals, the portable computer system comprising:
an integrated device, which has a first wireless transmission interface and a first signal processor connected to the peripheral devices, for controlling the peripheral devices according to the external port signals; and
a portable computer having a second wireless transmission interface corresponding to the first wireless transmission interface, and a second signal processor, wherein the second signal processor is for arbitrating the external port signals to set priorities thereof, adding user identification information of the portable computer and encoding the external port signals to produce an encoded signal according to the priorities;
wherein the integrated device and the portable computer receiveoutput the encoded signal through the first and second wireless transmission interfaces, and after the second signal processor feeds the encoded signal to the first signal processor, the first signal processor decodes the encoded signal to generate the external port signals and recognize the user identification information to control the peripheral devices.
6. The portable computer system according to claim 5, wherein the integrated device is a docking station.
7. The portable computer system according to claim 5, wherein the integrated device is an external port replicator.
8. The portable computer system according to claim 5, wherein the external port signals comprises monitor port signals, serial port signals, parallel port signals, PS2 port signals, USB port signals, IEEE 1394 port signals, signals of port for external storage drive, audio ports signals or network port (LAN port) signals.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
What is claimed is:
1. An image processing method which sets correction conditions for correcting components regarding brightness of image data on the basis of a histogram corresponding to the components regarding image brightness represented by the image data, and corrects the image data according to the set correction conditions, said method comprising the steps of:
calculating a ratio of the components included within a predetermined range in the histogram; and
setting the correction conditions on the basis of the calculated ratio.
2. A method according to claim 1, wherein said setting step of setting the correction conditions changes a correction for image data, of which the components are within a predetermined range, among the set correction conditions when the ratio exceeds a predetermined value, and sets the correction condition such that a correction of maintaining the calculated component value is to be performed.
3. A method according to claim 1, further comprising the steps of:
calculating a component value in the histogram wherein a cumulative frequency accumulated from the maximum value or the minimum value indicates a predetermined value within a range of the component value; and
calculating the cumulative frequency from the minimum value or the maximum value to a predetermined component value,
wherein said setting step of setting the correction conditions discriminates degree of lightness on the basis of the calculated component value and the cumulative frequency, and sets the correction conditions on the basis of the discriminated degree of lightness and the calculated ratio.
4. A method according to claim 3, wherein said setting step of setting the correction conditions changes a correction for image data from the minimum component value to a predetermined component value among the correction conditions set based on the degree of lightness when the calculated ratio exceeds a predetermined value, and sets the correction condition such that a correction of maintaining the component value is to be performed.
5. A method according to claim 3, wherein said setting step of setting the correction conditions discriminates the degree of lightness on the basis of a ratio of the cumulative frequency for the number of all the pixels in the histogram.
6. A method according to claim 1, wherein the component value is a brightness value indicated by the image data.
7. A method according to claim 3, wherein said setting step of setting the correction conditions discriminates brightness of the image with plural stages on the basis of the component value, and variably sets the correction conditions every the discriminated brightness classified into the plural stages.
8. A method according to claim 7, wherein said setting step of setting the correction conditions discriminates brightness distribution of the image with plural stages every the discriminated brightness classified into the plural stages on the basis of the calculated ratio, and variably sets the correction conditions every the discriminated brightness distribution classified into the plural stages.
9. A method according to claim 1, wherein increasing degree of density is emphasized when a ratio of a highlight area is a large ratio as compared with a case that the ratio of the highlight area is a small ratio, decreasing degree of density is emphasized when a ratio of a shadow area is a large ratio as compared with a case that the ratio of the shadow area is a small ratio, and expanding degree of dynamic range is emphasized when width of the histogram is narrow as compared with a case that the width of the histogram is wide.
10. An image processing method which sets a correction condition for an input image in accordance with a ratio of a shadow area in the input image, said method comprising the steps of:
setting a first correction condition for the input image in accordance with a ratio of a first shadow area in the input image; and
adjusting a correction condition for a shadow area of the first correction condition in accordance with a ratio of a second shadow area, of which range is different from that of the first shadow area, in the input image.
11. An image processing method which discriminates degree of lightness of an image on the basis of a histogram related to the number of pixels of a component value regarding image brightness indicated by image data, sets degree of correction component regarding brightness of the image data on the basis of the discriminated result, and corrects the components according to the set degree of correction component, said method comprising the steps of:
calculating a component value in the histogram wherein a cumulative frequency accumulated from the maximum value or the minimum value indicates a predetermined value within a range of the component value;
calculating a cumulative frequency accumulated from the maximum value or the minimum value to a predetermined component value in the histogram;
discriminating the degree of lightness on the basis of the calculated component value and the cumulative frequency; and
setting the degree of correction component on the basis of the discriminated result.
12. A method according to claim 11, wherein said setting step of setting the degree of correction component discriminates the degree of lightness on the basis of a ratio of the cumulative frequency to the number of pixels in the histogram.
13. A method according to claim 11, wherein the component value is a brightness value indicated by the image data.
14. A method according to claim 12, wherein said setting step of setting the degree of correction component discriminates brightness of the image with plural stages on the basis of the component value and variably sets the degree of correction component every the discriminated brightness classified into the plural stages.
15. A method according to claim 14, wherein said setting step of setting the degree of correction component discriminates brightness distribution of the image with plural stages every the discriminated brightness classified into the plural stages on the basis of the calculated ratio and variably sets the degree of correction component every the discriminated brightness distribution classified into the plural stages.
16. An image processing apparatus which sets correction conditions for correcting components regarding brightness of image data on the basis of a histogram corresponding to the components regarding image brightness represented by the image data, and corrects the image data according to the set correction conditions, comprising:
calculation means for calculating a ratio of the components included within a predetermined range in the histogram; and
setting means for setting the correction conditions on the basis of the calculated ratio.
17. An image processing apparatus which sets a correction condition for an input image in accordance with a ratio of a shadow area in the input image, comprising:
setting means for setting a first correction condition for the input image in accordance with a ratio of a first shadow area in the input image; and
adjustment means for adjusting a correction condition for a shadow area of the first correction condition in accordance with a ratio of a second shadow area, of which range is different from that of the first shadow area, in the input image.
18. An image processing apparatus which discriminates degree of lightness of an image on the basis of a histogram related to the number of pixels of a component value regarding image brightness indicated by image data, sets degree of correction component regarding brightness of the image data on the basis of the discriminated result, and corrects the components according to the set degree of correction component, comprising:
calculation means for calculating a component value in the histogram wherein a cumulative frequency accumulated from the maximum value or the minimum value indicates a predetermined value within a range of the component value;
calculation means for calculating a cumulative frequency accumulated from the maximum value or the minimum value to a predetermined component value in the histogram;
discrimination means for discriminating the degree of lightness on the basis of the calculated component value and the cumulative frequency; and
setting means for setting the degree of correction component on the basis of the discriminated result.
19. A storage medium which stores a computer-readable program of a method which sets correction conditions for correcting components regarding brightness of image data on the basis of a histogram corresponding to the components regarding image brightness represented by the image data, and corrects the image data according to the set correction conditions, said method comprising the steps of:
calculating a ratio of the components included within a predetermined range in the histogram; and
setting the correction conditions on the basis of the calculated ratio.
20. A storage medium which stores a computer-readable program of a method which sets a correction condition for an input image in accordance with a ratio of a shadow area in the input image, said method comprising the steps of:
setting a first correction condition for the input image in accordance with a ratio of a first shadow area in the input image; and
adjusting a correction condition for a shadow area of the first correction condition in accordance with a ratio of a second shadow area, of which range is different from that of the first shadow area, in the input image.
21. A storage medium which stores a computer-readable program of a method which discriminates degree of lightness of an image on the basis of a histogram related to the number of pixels of a component value regarding image brightness indicated by image data, sets degree of correction component regarding brightness of the image data on the basis of the discriminated result, and corrects the components according to the set degree of correction component, said method comprising the steps of:
calculating a component value in the histogram wherein a cumulative frequency accumulated from the maximum value or the minimum value indicates a predetermined value within a range of the component value;
calculating a cumulative frequency accumulated from the maximum value or the minimum value to a predetermined component value in the histogram;
discriminating the degree of lightness on the basis of the calculated component value and the cumulative frequency; and
setting the degree of correction component on the basis of the discriminated result.