METHOD AND DEVICE FOR CALCULATING BLUR IN VIDEO IMAGES
2 Assignments
0 Petitions
Accused Products
Abstract
Blur is one of the most important features related to image quality. Accurately estimating the blur level of an image is a great help to accurately evaluate its quality. A method for calculating blur of video images comprises calculating a horizontal blur value, and determining characteristic parameters of the video images, including at last progressive/interlaced and spatial resolution level. If the video images are progressive, also a vertical blur value is calculated, and combined with the horizontal blur value. The next step is normalizing the horizontal blur value, or the combined horizontal and vertical blur value, according to predefined min and max values, wherein the min and max values are adapted to the spatial resolution level.
-
Citations
28 Claims
-
1-10. -10. (canceled)
-
11. A method for calculating blur of video images, comprising steps of
calculating a horizontal blur value; -
determining characteristic parameters of the video images, including at last progressive/interlaced and spatial resolution level; if the video images are progressive, calculating also a vertical blur value and combining it with the horizontal blur value; and normalizing the horizontal blur value, or the combined horizontal and vertical blur value, according to predefined min and max values, wherein the min and max values are adapted to the spatial resolution level. - View Dependent Claims (12, 13, 14, 15, 16, 17, 19)
-
-
18. Method according toll, wherein one or more of the characteristic parameters of the video images are obtained through a machine interface from a video decoder.
-
20. An apparatus for calculating blur of video images,
calculator means for calculating a horizontal blur value; -
detector means for determining characteristic parameters of the video images, including at least progressive/interlaced and spatial resolution level; calculator means for calculating also a vertical blur value and combining it with the horizontal blur value if the video images are progressive; and normalize means for normalizing the horizontal blur value, or the combined horizontal and vertical blur value, according to predefined min and max values, wherein the min and max values are adapted to the spatial resolution level. - View Dependent Claims (21, 22, 23, 24, 25, 26, 27, 28)
-
Specification