Noise filtering

• US 6,115,502 A
• Filed: 10/15/1997
• Issued: 09/05/2000
• Est. Priority Date: 10/24/1996
• Status: Expired due to Fees

• Current Assignee: US Philips Corporation (Koninklijke Philips N.V.)
• Original Assignee: US Philips Corporation (Koninklijke Philips N.V.)
• Inventors: Snijder, Pieter J., De Haan, Gerard
• Primary Examiner(s): LEE, TOMMY D
• Application Number:
  US08/950,562
• Time in Patent Office: 1,056 Days
• Field of Search: 348/620, 348/618, 348/619, 348/412, 348/413, 348/415, 348/416, 382/260, 382/261, 382/262, 382/263, 382/264, 382/265, 382/275, 358/463
• US Class Current: 382/260
• CPC Class Codes: H04N 5/21 Circuitry for suppressing or minimising disturbance, e.g. moiré or halo
• CPC Class Codes: H04N 5/44 Receiver circuitry for the reception of television signals according to analogue transmission standards H04N5/14 takes precedence

Abstract

In a motion-dependent noise filtering (MD, NRF), a received image signal and a delayed (3) image signal are combined in dependence upon both a local amount of motion and a global amount of motion in the image signals.

Claims

1. A motion-dependent method of filtering noise, the method comprising the steps of:

determining (5-13) a local characteristic in an image signal;

determining (5, 21,

     23) a global amount of motion in the image signal; and

combining (1) a received image signal and a delayed (3) image signal in dependence upon both (25) said local characteristic and said global amount of motion in the image signal.

2. A method as claimed in claim 1, wherein said local characteristic is a local amount of motion.

3. A method as claimed in claim 2, wherein said global amount of motion determining step (5, 21, 23) includes the step of summing (23) said local amount of motion over the image.

4. A method as claimed in claim 2, wherein said global amount of motion determining step (5, 21, 23) includes the step of summing (23) said local amount of motion over a plurality of field periods.

5. A method as claimed in claim 4, wherein said plurality of field periods include at least two movement phases.

6. A method as claimed in claim 2, wherein said combining step includes the step of adding (25) said local amount of motion and said global amount of motion to obtain a filtering control signal (k).

7. A method as claimed in claim 1, wherein said global amount of motion determining step (5, 21, 23) includes the step of summing motion vectors.

8. A method as claimed in claim 7, wherein said motion vector summing step includes the step of summing horizontal and vertical components of said motion vectors.

9. A method as claimed in claim 1, wherein said global amount of motion determining step (5, 21, 23) includes the step of summing (23) a non-linearly processed (21) signal.

10. A motion-dependent noise filtering circuit (MD, NRF), comprising:

means (5-13) for determining a local characteristic in an image signal;

means (5, 21,

     23) for determining a global amount of motion in the image signal; and

means (1) for combining a received image signal and a delayed image signal in dependence upon both (25) said local characteristic and said global amount of motion in the image signal, to obtain a noise filtered signal.

11. A motion-dependent noise filtering circuit (MD, NRF) as claimed in claim 10, wherein said local characteristic is a local amount of motion.

12. An image display apparatus, comprising:

a motion-dependent noise filtering circuit (MD, NRF) as claimed in claim 10; and

a display unit (DU) for displaying said noise filtered signal.

13. A multi-media apparatus for processing image signals and at least one other item from a group including data, text and/or sound, the apparatus comprising:

a motion-dependent noise filtering circuit (MD, NRF) as claimed in claim 10; and

means for furnishing said noise filtered signal and/or said at least one other item.