Image compression technique

• US 4,723,298 A
• Filed: 03/27/1985
• Issued: 02/02/1988
• Est. Priority Date: 03/27/1985
• Status: Expired due to Fees

• Current Assignee: Secure Technologies Group, Inc.
• Original Assignee: Secure Technologies Group, Inc.
• Inventors: Schiller, Michael
• Primary Examiner(s): Boudreau, Leo H.
• Assistant Examiner(s): NOT, DEFINED
• Application Number:
  US06/716,487
• Time in Patent Office: 1,042 Days
• Field of Search: 382/4, 382/5, 382/27, 382/54, 382/56, 382/50, 382/41, 382/49, 358/138, 358/263, 358/260
• US Class Current: 382/251
• CPC Class Codes: G06T 3/40 Scaling of whole images or parts thereof, e.g. expanding or contracting
• CPC Class Codes: H04N 1/40068 Modification of image resolution, i.e. determining the values of picture elements at new relative positions H04N1/3935 takes precedence

Abstract

An optical and electronic scan produces an image composed of binary value pixels. An automatic picture compression routine reduces the number of pixels in the image. A first stage four to one reduction in the number of pixels is achieved by treating each mutually exclusive four pixel unit as a separate set. A binary value is assigned to each four pixel set. That binary value is assigned to a single pixel in a first output image. The same process is repeated a second time to provide a final output image that has one-sixteenth the number of pixels as has the original input image. The value assigned to each four pixel unit set is a weighted function of the binary value of each of the sixteen pixels in a four pixel by four pixel subfield in which the unit set is centered. The greatest weight is give to the center pixels, that is, to the four pixels of the unit set. Lesser weight is given to the peripheral pixels. Among the peripheral pixels, lesser weight is given to the four corner pixels than is given to the eight side pixels between the corners. In the weighting process, the significance of the binary value of the sixteen pixels in the subfield is in part a function of the total pattern of the pixel values in the subfield.

Claims

1. The machine method of automatically compressing a fingerprint image represented by a field of binary pixels comprising the steps of:

optically imaging a finger surface or a continuous fingerprint to provide an input image of said fingerprint, said input image being a field of binary value pixels, each of said pixels having either a first value or a second value,

designating each mutually exclusive m pixel by n pixel box in said imput image as a unit set, m and n each having a value greater than one,

associating a subfield greater than the unit set as an associated subfield for said unit set, the unit set being centered in its associated subfield,

assigning a binary value to each of said unit sets as a function of the number and position of the first value pixels and of the second value pixels in said associated subfield, and

assigning said binary value of each of said unit sets as the value of a single pixel in an output image, said single pixel having substantially the dimensions of a pixel of said input image to provide said output image no more than one-fourth the size of said input image.

2. The method of claim 1 wherein said unit set is a two pixel by two pixel box and said subfield is a four pixel by four pixel box having four center pixels and twelve peripheral pixels, the associated one of said unit sets constituting said four center pixels in said subfield, said output image being one-fourth the size of said input image.

3. The method of claim 2 wherein the values of said center pixels of said associated subfield are assigned a greater weight than are said peripheral pixels of said subfield.

4. The method of claim 3 where said twelve peripheral pixels include four corner pixels and the values of said corner pixels are assigned a lesser weight than are the values of the other ones of said peripheral pixels.

5. The method of claim 1 wherein said step of assigning a binary value to each of said unit set includes at least the steps of:

assigning a binary value to each of the pixels of said unit set as a function of the binary values of adjacent pixels in said subfield, and

then assigning a value to said unit set as a function of said values assigned to each of said pixels of said unit set.

6. The method of claim 4 wherein said step of assigning a binary value to each of said unit sets includes at least the steps of:

ssigning a binary value to each of the four pixels of said unit set as a function of the binary values of adjacent pixels in said subfield, and

then assigning a value to said four pixel unit set as a function of said values assigned to each of said pixels of said unit set.

7. The method of claim 1 further comprising the steps of:

treating said output image as a secondary input image and repeating all of the steps of said claim 1 on said secondary input image to provide a further compressed output image.

8. The method of claim 2 further comprising the steps of:

treating said output image as a secondary input image and repeating all of the steps of said claim 2 on said secondary input image to provide a further compressed output image.

9. The method of claim 5 further comprising the steps of:

treating said output image as a secondary input image and repeating all of the steps of said claim 5 on said secondary input image to provide a further compressed output image.

10. The method of claim 6 further comprising the steps of:

treating said output image as a secondary input image and repeating all of the steps of said claim 6 on said secondary input image to provide a further compressed output image.

11. The machine method of automatically compressing an image represented by a field of binary pixels into an output image with reduced number of pixels comprising the steps of:

scanning a predetermined object to provide an input image consisting of a field of pixels,

designating each mutually exclusive two pixel by two pixel box as a four pixel unit set in the input image and a single pixel in the output image,

associating a four pixel by four pixel subfield with each of said four pixel unit sets, said unit set being centered in the sixteen pixels of said subfield,

assigning to each of said unit sets a binary value determined by a weighted contribution from the pixels of said subfield including the pixels of said unit set within said subfield, and

assigning said binary value of each of said unit sets as the value of a single pixel in an output image, said single pixel having substantially the dimensions of a pixel of said input image to provide said output image one-fourth the size of said input image.

12. The method of claim 11 wherein said step of assigning comprises the steps of:

for each of the four pixels in any one of said unit sets, associating four subsidiary sets,

each of said four subsidiary sets being a two pixel by two pixel box overlapping one another and having in common the one of said four pixels from said unit set with which said four subsidiary sets are associated,

assigning, for each of said subsidiary sets, a binary value equal to the majority binary value of the pixels which constitute a subsidiary set to the subsidiary set, no binary value being assigned where there is no majority value,

assigning to each pixel of said unit set a binary value equal to the majority binary vaIue assigned to the associated four of said subsidiary sets, no binary value being assigned where there is no such majority, and

assigning to said input image unit set, a binary value equal to the predominant assigned value of the four pixels which constitute said unit set and, when there is no such plurality value, assigning to such unit set the assigned binary value of a predetermined one of said pixels which constitutes said unit set.

13. Apparatus for automatically compressing a fingerprint image represented by a field of binary pixels comprising:

means to optically image a finger surface or a continuous fingerprint to provide an input image of said fingerprint, said input image being a field of binary value pixels, each of said pixels having either a first value or a second value,

means for designating each mutually exclusive m pixel by n pixel box in said input image as a unit set, m and n each having a value greater than one,

means for associating a subfield greater than the unit set as an associated subfield for said unit set, the unit set being centered in its associated subfield,

memory means responsive to the number and positions of the first value pixels and the second value pixels in said associated subfield to assign a binary value to each of said unit sets and to a single pixel representing each of said unit sets in an output image each of said output image pixels having substantially the dimensions of a pixel of said input image to provide an output image no more than one-fourth the size of said input image.

14. The apparatus of claim 13 wherein said unit set is a two pixel by two pixel box and said subfield is a four pixel by four pixel box, thereby containing sixteen pixels having four center pixels and twelve peripheral pixels, the associated four pixels of said unit set constituting the four center pixels in said subfield.