IP Library › Granted Patent US 8,320,460
Granted Patent B2
US 8,320,460 · App. 11/532,701 · Granted Nov 27, 2012

Dyadic spatial re-sampling filters for inter-layer texture predictions in scalable image processing

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Quick Facts
Patent No.
US 8,320,460
App. No.
11/532,701
Granted
Nov 27, 2012
Kind
B2
Abstract

A dyadic spatial down sampling filter having tap values configured according to a Kaiser window function a beta factor of approximately 2.5, having approximately 1.5 side lobes, and having a down sampling ratio of approximately 1.9. The dyadic spatial down sampling filter may have tap values [−1, 17, 32, 17, −1]/64. A dyadic spatial up sampling filter having tap values configured according to a Kaiser window function having a beta factor of approximately 1.5, having approximately 2 side lobes, and having an up sampling ratio of approximately 2. The dyadic spatial up sampling filter may have tap values [−5.44, 0, 20.71, 33.46, 20.71, 0, −5.44]/64.0, or tap values [−5, 0, 21, 32, 21, 0, −5]/64, or tap values [−5, 21, 21, −5]/32.

Claims (22)

1. A dyadic spatial re-sampling filter, comprising:

a down sampling filter for down sampling image information implemented according to a Kaiser window function having a beta factor of approximately 2.5, having approximately 1.5 side lobes, and having a down sampling ratio of approximately 1.9; and

an up sampling filter implemented for up sampling image information according to a Kaiser window function having a beta factor of approximately 1.5, having approximately 2 side lobes, and having an up sampling ratio of approximately 2.

2. The dyadic spatial re-sampling filter of claim 1 , wherein said down sampling filter comprises a 5-tap filter having tap values [−1, 17, 32, 17, −1]/64.

3. The dyadic spatial re-sampling filter of claim 1 , wherein said up sampling filter comprises a 7-tap filter having tap values [−5.44, 0, 20.71, 33.46, 20.71, 0, −5.44]/64.0.

4. The dyadic spatial re-sampling filter of claim 1 , wherein said up sampling filter comprises a 7-tap filter having tap values [−5, 0, 21, 32, 21, 0, −5]/64.

5. The dyadic spatial re-sampling filter of claim 1 , wherein said up sampling filter comprises a 4-tap filter having tap values [−5, 21, 21, −5]/32.

6. A dyadic spatial down sampling filter for down sampling image information having tap values configured according to a Kaiser window function having a beta factor of approximately 2.5, having approximately 1.5 side lobes, and having a down sampling ratio of approximately 1.9.

7. The dyadic spatial down sampling filter of claim 6 , wherein said filter comprises a 5 -tap filter having tap values [−1, 17, 32, 17, −1]/64.

8. A dyadic spatial up sampling filter for up sampling image information having tap values configured according to a Kaiser window function having a beta factor of approximately 1.5, having approximately 2 side lobes, and having an up sampling ratio of approximately 2.

9. The dyadic spatial up sampling filter of claim 8 , wherein said filter comprises a 7-tap filter having tap values [−5.44, 0, 20.71, 33.46, 20.71, 0, −5.44]/64.0.

10. The dyadic spatial up sampling filter of claim 8 , wherein said filter comprises a 7-tap filter having tap values [−5, 0, 21, 32, 21, 0, −5]/64.

11. The dyadic spatial up sampling filter of claim 8 , wherein said filter comprises a 4-tap filter having tap values [−5, 21, 21, −5]/32.

12. A method of spatially re-sampling image information, comprising:

receiving first image information at a first resolution; and

filtering the first image information through a dyadic up sampling filter and providing second image information at a second resolution, wherein the dyadic up sampling filter is implemented according to a Kaiser window function having a beta factor of approximately 1.5, having approximately 2 side lobes, and having an up sampling ratio of approximately 2.

13. The method of claim 12 , further comprising:

receiving third image information at the second resolution; and

filtering the third image information through a dyadic down sampling filter and providing fourth image information at the first resolution, wherein the dyadic down sampling filter is implemented according to a Kaiser window function having a beta factor of approximately 2.5, having approximately 1.5 side lobes, and having a down sampling ratio of approximately 1.9.

14. The method of claim 13 , wherein said filtering the third image information through a dyadic down sampling filter comprises filtering the third image information through a dyadic 5-tap filter down sampling filter with coefficients [−1, 17, 32, 17, −1]/64.

15. The method of claim 12 , wherein said filtering the first image information through a dyadic up sampling filter comprises filtering the first image information through a dyadic 7-tap filter up sampling filter with coefficients [−5, 0, 21, 32, 21, 0, −5]/64.

16. The method of claim 12 , wherein said filtering the first image information through a dyadic up sampling filter comprises filtering the first image information through a dyadic 4-tap filter up sampling filter with coefficients [−5, 21, 21, −5]/32.

Assignments (31)
CORRECTIVE ASSIGNMENT TO CORRECT THE REMOVE APPLICATION 11759915 AND REPLACE IT WITH APPLICATION 11759935 PREVIOUSLY RECORDED ON REEL 040925 FRAME 0001. ASSIGNOR(S) HEREBY CONFIRMS THE RELEASE OF SECURITY INTEREST. Recorded Feb 17, 2020
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