Data processing method

• US 20020122602A1
• Filed: 12/19/2001
• Published: 09/05/2002
• Est. Priority Date: 12/26/2000
• Status: Active Grant

• Current Assignee: Koninklijke Philips N.V.
• Original Assignee: Koninklijke Philips N.V.
• Inventors: Rouvellou, Laurent Jean Marie
• Granted Patent: US 6,920,252 B2
• Time in Patent Office: Days
• US Class Current: 382/261
• CPC Class Codes: H04N 19/527 Global motion vector estimation
• CPC Class Codes: H04N 19/80 Details of filtering operations specially adapted for video compression, e.g. for pixel interpolation H04N19/635, H04N19/86 take precedence
• CPC Class Codes: H04N 19/86 involving reduction of coding artifacts, e.g. of blockiness

Abstract

The present invention relates to a data processing method, which data are included in an incoming digital image. This method comprises a calculation step (ACT) of a spatial activity value of a current pixel based on values (Y) of said current pixel and pixels adjacent thereto, a determination step (NND) of a non-natural uniform area (NN) if the spatial activity value of various consecutive pixels is lower than a first predetermined threshold value. The invention also includes a gradient filter step (GF) of values (Y) of the pixels adapted to detect (THR1) strong edges (SE) inside the image and a detection step (RD) of a ringing artifact. The invention finally comprises a filter step (FIL) of values (Y) of the pixels comprised in a filtering area which is located between a non-natural uniform area (NN) and a strong edge (SE) which are close together and where at least a ringing artifact has been detected.

Claims

1. A method of processing data contained in a digital input image formed by pixels, said method comprising the steps of:

calculating (ACT) a spatial activity value of a current pixel based on values (Y) of said current pixel and of pixels adjacent thereto,

determining (NND) a non-natural uniform area (NN) if the spatial activity value of various consecutive pixels is lower than a first predetermined threshold value,

gradient filtering (GF) values (Y) of the pixels adapted to detect (THR1) strong edges (SE) inside the image,

determining (RC) an artifact if the spatial activity value of a current pixel is higher than a second predetermined threshold value and is concentrated on said pixel, and

detecting (RD) a ringing artifact if the artifact coming from the artifact determination step (RC) lies between a non-natural uniform area (NN) and a strong edge which are close together.

2. A data processing method as claimed in claim 1, characterized in that the gradient filter step (GF) utilizes a Sobel filter.

3. A data processing method as claimed in claim 1, characterized in that it further includes a step (FIL) of filtering values (Y) of the pixels comprised in a filtering area which is situated between a non-natural uniform area (NN) and a strong edge (SE) which are close together and where at least one ringing artifact has been detected.

4. A data processing method as claimed in claim 3, characterized in that the filter step (FIL) utilizes a first filter (H₂ to H₅) for an a pixel adjacent to a strong edge (SE), the coefficients of said first filter depending on the position of the adjacent pixel relative to the strong edge, and a second filter (H₁) for the other pixels of the filtering area.

5. A data processing method as claimed in claim 1, characterized in that it is associated with a method of processing blocking artifacts, the latter method utilizing the gradient filter step (GF) of values (Y) of the pixels for detecting an area of natural contours (NC) inside the image.

6. A data processing method as claimed in claim 5, characterized in that the blocking artifact processing method furthermore comprises the steps of:

detecting blocking artifacts (BAD) comprising the sub-steps of;

calculating (CT) a discontinuity parameter based on the values of a current pixel and adjacent pixels to said current pixel,

determining (AC) an artifact value of the current pixel based on discontinuity parameters of the current pixel and of neighboring pixels of the current pixel,

identifying (ID) blocking artifacts based on the artifact values,

low-pass filtering (LPF) of the values (Y) of the pixels corresponding to block artifacts determined by the detection step (BAD) with the exception of natural contour areas (NC) determined by the gradient filter step (GF).

7. A “

computer program”

product for a television receiver comprising a set of instructions which, when they are loaded in a circuit of the television receiver, causes said circuit to carry out the data processing method as claimed in one of the claims 1 to 6.

8. A “

computer program”

product for a set top box comprising a set of instructions which, when they are loaded in a circuit of the set top box, causes the said circuit to carry out the data processing method as claimed in one of the claims 1 to 6.