Masked combinations of video slices for computer display

Claim 2

An image processing method comprising the steps of: thresholding an image N times with N successively greater light intensity values thereby creating N thresholded binary outputs, each thresholded output representing an image slice; forming N video masks, each of said masks comprising one of N predetermined patterns of on and off pixels; ANDing each of said N video masks with a corresponding one of said N image slices, to create N masked video slices; ORing each of said N masked video slices sequentially to create a grey scale image; and displaying said grey scale image on a binary output device; wherein N, in all instances, is greater than 1.

Claim 3

The method of claim 1 wherein each of said N predetermined pattern of pixels is comprised of a plurality of one of N repeating sub-patterns, each said sub-pattern comprising N contiguous pixels.

Claim 4

The method of claim 2 wherein each said sub-pattern of N contiguous pixels includes one on pixel and N-1 off pixels.

Claim 5

The method of claim 3 wherein each said sub-pattern of said N sub-patterns has a different on pixel from every other sub-pattern.

Claim 6

The method of claim 4 wherein said N contiguous pixels of each said N sub-patterns includes one of a rectangular, square or circular shaped array of pixels.

Claim 7

An image processing method for displaying a grey scale image on a binary output device comprising the steps of: (a) forming N binary video slices of an image to be displayed, each said video slices having on pixels only corresponding to pixels of the image having an intensity level equal to or above one of N threshold intensity levels, all other pixels of said slice being off; (b) storing each of said N binary video slices in memory; (c) forming N binary video masks, each said video mask comprising one of N predetermined patterns of on and off pixels; (d) storing each of said N binary video masks in memory; (e) combining each of said N video slices with a corresponding one of said N video masks to create N masked video slices; (f) storing each of said N masked video slices in memory; (g) combining said N masked video slices to create a single grey scale image; and (h) displaying said single grey scale image on a binary output device; wherein N, in all instances, is greater than 1.

Claim 8

An image processing method for displaying a grey scale image on a binary output device comprising the steps of: (a) forming N binary video slices of an image to be displayed, each said video slices having on pixels only corresponding to pixels of the image having an intensity level equal to or above one of N threshold intensity levels, all other pixels of said slice being off; (b) storing each of said N binary video slices in memory; (c) forming N binary video masks, each said video mask comprising one of N predetermined patterns of on and off pixels; (d) storing each of said N binary video masks in memory; (e) combining each of said N video slices with a corresponding one of said N video masks to create N masked video slices; (f) storing each of said N masked video slices in memory; (g) combining said N masked video slices to create a single grey scale image; and (h) displaying said single grey scale image on a binary output device; wherein N, in all instances, is greater than 1.

Claim 9

The method of claim 6 wherein said N threshold intensity levels are selected successively from a lowest level to a highest level such that the image displayed by said N binary video slices is successively brightest to dimmest from the 1st to the Nth slice.

Claim 10

The method of claim 6 wherein said N binary video slices are created by a video scanner.

Claim 11

The method of claim 6 wherein said N binary video slices are created by computer means from a previously stored grey scale image.

Claim 12

The method of claim 6 wherein said N threshold intensity levels are selected randomly between 0 and the maximum intensity level of said image.

Claim 13

The method of claim 6 wherein said N threshold intensity levels are selected to be equally spaced between 0 and the maximum intensity level of said image.

Claim 14

The method of claim 6 wherein said N threshold intensity levels are selected by histogram equalization.

Claim 15

The method of claim 6 wherein N is 4 or greater.

Claim 16

The method of claim 6 wherein each of said N predetermined patterns of pixels is comprised of a plurality of one of N repeating sub-patterns, each said sub-pattern comprising N continuous pixels.

Claim 17

The method of claim 14 wherein each said sub-pattern of N contiguous pixels includes one on pixel and N-1 off pixels.

Claim 18

The method of claim 15 wherein each said sub-pattern of said N sub-patterns has a different on pixel from every other sub-pattern.

Claim 19

The method of claim 16 wherein said N contiguous pixels of each said N sub-patterns includes a rectangular array of pixels.

Claim 20

The method of claim 16 wherein said N contiguous pixels of each said N sub-patterns includes a square array of pixels.

Claim 21

The method of claim 16 wherein said N contiguous pixels of each said N sub-patterns includes a circular array of pixels.

Claim 22

The method of claim 17 wherein N is equal to 8.

Claim 23

The method of claim 6 wherein said step of combining said N video slices with said N video masks includes the steps of logically ANDing each pixel of said slice with a corresponding pixel of said mask, there being a one to one correspondence between said slice and said mask, said masked video slices having an on pixel only where the corresponding pixel on both said slice and said mask is on.

Claim 24

The method of claim 6 wherein said step of combining said N masked video slices to create said single grey scale image includes the step of logically ORing corresponding pixels of each said masked slices, there being a one to one correspondence of pixels for each masked slice, said grey scale image having an on pixel where a corresponding pixel of at least one of said masked slices is on.

Claim 25

The method of claim 6 further including the step of compressing the image displayed by each said video slice into fewer pixels than the number of pixels in each video slice before compression, said compressing step occurring before each slice is ANDed with said video masks.

Claim 26

An image processing system comprising: means for thresholding an image N times with N sequentially greater light intensity values thereby creating N thresholded binary outputs, each thresholded output representing an image slice; means for forming N video masks, each of said masks comprising one of N predetermined patterns of one and off pixels; means for ANDing each of said N video masks with a corresponding one of said N image slices to create N masked video slices; means for ORing each said N masked vide slices sequentially to create a grey scale image; and means for displaying said grey scale image on a binary output device; wherein N, in all instances, is greater than 1.

Claim 27

An image processing system comprising: means for thresholding an image N times with N sequentially greater light intensity values thereby creating N thresholded binary outputs, each thresholded output representing an image slice; means for forming N video masks, each of said masks comprising one of N predetermined patterns of one and off pixels; means for ANDing each of said N video masks with a corresponding one of said N image slices to create N masked video slices; means for ORing each said N masked vide slices sequentially to create a grey scale image; and means for displaying said grey scale image on a binary output device; wherein N, in all instances, is greater than 1.

Claim 28

The system of claim 24 wherein each of said N predetermined patterns of pixels is comprised of a plurality of one of N repeating sub-patterns, each said sub-pattern comprising N contiguous pixels.

Claim 29

The system of claim 25 wherein said sub-pattern of N contiguous pixels includes one on pixel and N-1 off pixels.

Claim 30

The system of claim 26 wherein each said sub-pattern of said N sub-patterns has a different on pixel from every other sub-pattern.

Claim 31

The system of claim 27 wherein said N contiguous pixels of each said N sub-patterns includes one of a rectangular, square or circular shaped array pixels.

Claim 32

An image processing system for displaying a grey scale image on a binary output device comprising: (a) means for creating N binary video slices of an image to be displayed, each said video slice displaying pixels of the image having an intensity level equal to or above one of N threshold intensity levels; (b) means for storing each of said N binary video slices in memory, (c) means for creating N binary video masks, each said video mask comprising one of N predetermined patterns of on and off pixels; (d) means for storing each of said N binary video masks in memory; (e) means for combining each of said N video slices with a corresponding one of said N video masks to create N masked video slices; (f) means for storing each of said N masked video slices; (g) means for combining said N masked video slices to create a single grey scale image; and (h) means for displaying said single grey scale image on a binary output device; wherein N, in all instances, is greater than 1.

Claim 33

An image processing system for displaying a grey scale image on a binary output device comprising: (a) means for creating N binary video slices of an image to be displayed, each said video slice displaying pixels of the image having an intensity level equal to or above one of N threshold intensity levels; (b) means for storing each of said N binary video slices in memory, (c) means for creating N binary video masks, each said video mask comprising one of N predetermined patterns of on and off pixels; (d) means for storing each of said N binary video masks in memory; (e) means for combining each of said N video slices with a corresponding one of said N video masks to create N masked video slices; (f) means for storing each of said N masked video slices; (g) means for combining said N masked video slices to create a single grey scale image; and (h) means for displaying said single grey scale image on a binary output device; wherein N, in all instances, is greater than 1.

Claim 34

The system of claim 29 wherein said N threshold intensity levels are selected successively from a lowest level to a highest level such that the image displayed by said N binary video slices is successively brightest to dimmest from the 1st slice to the Nth slice.

Claim 35

The system of claim 29 wherein said N binary video slices are created by a video scanner.

Claim 36

The system of claim 29 wherein said N binary video slices are created by computer means.

Claim 37

The system of claim 29 wherein said N threshold intensity levels are selected randomly between 0 and the maximum intensity level of said image.

Claim 38

The system of claim 29 wherein said N threshold intensity levels are selected to be equally spaced between 0 and the maximum intensity level of said image.

Claim 39

The system of claim 29 wherein said N threshold intensity levels are selected by histogram equalization.

Claim 40

The system of claim 29 wherein each of said N predetermined patterns of pixels is comprised of a plurality of one of N repeating sub-patterns, each said sub-pattern comprising N contiguous pixels.

Claim 41

The system of claim 36 wherein each said sub-pattern of N contiguous pixels includes one on pixel and N-1 off pixels.

Claim 42

The system of claim 37 wherein each said sub-pattern of said N sub-patterns has a different on pixel from every other sub-pattern.

Claim 43

The system of claim 38 wherein said N contiguous pixels of each said N sub-patterns includes one of a rectangular, square or circular shaped array of pixels.

Claim 44

The system of claim 29 wherein said means for combining said N video slices with said N video masks includes logical ANDing means wherein each pixel of said slices is ANDed with a corresponding pixel of said mask, there being a one to one correspondence between said slice and said mask, said masked video slices having an on pixel only where the corresponding pixel in both said slice and said mask is on.

Claim 45

The system of claim 29 wherein said means of combining said N masked video slices to create said single grey scale image includes logical ORing means wherein corresponding pixels of each said masked slices are ORed, there being a one to one correspondence of pixels for each masked slice, said grey scale image having an on pixel where a corresponding pixel of at least one of said masked slices is on.

Claim 46

The system of claim 29 further including means of compressing the image displayed by each said video slice into fewer pixels than the number of pixels in each video slice before compression, said compression occurring before each slice is ANDed and with said video masks.

Claim 47

An image processing method comprising the steps of: forming a first video mask, said mask comprising a first one of N predetermined patterns of on and off pixels; ANDing said first video mask with a first image slice, to create a first masked video slice; storing said first masked video slice in memory; forming a second video mask comprising a second said one of N predetermined patterns of on and off pixels; ANDing said second video mask with a second image slice to create a second masked video slice; ORing said second masked video slice to said stored masked video slice to create a display image; storing said display image in memory; repeating said latter forming and ANDing steps N-2 times, each time ORing the masked video slice to the previously stored display image to create a binary grey scale image; and displaying said binary grey scale image on a binary output device; wherein N, in all instances, is greater than 1.

Claim 48

An image processing method comprising the steps of: forming a first video mask, said mask comprising a first one of N predetermined patterns of on and off pixels; ANDing said first video mask with a first image slice, to create a first masked video slice; storing said first masked video slice in memory; forming a second video mask comprising a second said one of N predetermined patterns of on and off pixels; ANDing said second video mask with a second image slice to create a second masked video slice; ORing said second masked video slice to said stored masked video slice to create a display image; storing said display image in memory; repeating said latter forming and ANDing steps N-2 times, each time ORing the masked video slice to the previously stored display image to create a binary grey scale image; and displaying said binary grey scale image on a binary output device; wherein N, in all instances, is greater than 1.

Claim 49

The method of claim 43 wherein each of said N predetermined pattern of pixels is comprised of a plurality of one of N repeating sub-patterns, each said sub-pattern comprising N contiguous pixels.

Claim 50

The method of claim 44 wherein each said sub-pattern of N contiguous pixels includes one on pixel and N-1 off pixels.

Claim 51

The method of claim 45 wherein each said sub-pattern of said N sub-patterns has a different on pixel from every other sub-pattern.

Claim 52

The method of claim 46 wherein said N contiguous pixels of each said N sub-patterns includes one of a rectangular, square or circular shaped array of pixels.