Method and system for determining a quality measure for an image using a variable number of multi-level decompositions
First Claim
Patent Images
1. A method for determining a measure of quality for an image Y, characterizing a similarity between the image Y and a reference image X having same resolution, the method comprising:
- (a) determining a number of levels of decomposition, N, to be applied to the image X and the image Y;
(b) applying an N level multiresolution decomposition, comprising levels 1, 2, . . . i, i+1, . . . N, to the image X and the image Y, producing respective approximation subbands containing main contents of the image X and image Y, and respective detail subbands containing edges of the image X and image Y;
(c) applying an image quality metric (IQM) to said respective approximation subbands of the image X and the image Y to produce an approximation quality measure, characterizing similarity between the main contents of the image X and the image Y;
(d) processing the respective detail subbands of the image X and the image Y to produce respective edge maps for the image X and the image Y, characterizing edges of the image X and the image Y respectively;
(e) applying the IQM to the respective edge maps to produce an edge quality measure, characterizing similarity between the edges of the image X and the image Y; and
(f) processing the approximation quality measure and the edge quality measure to determine the measure of quality.
1 Assignment
0 Petitions
Accused Products
Abstract
Method and system for determining a measure of quality for images are presented. Multi-level decomposition of images in the wavelet domain using a variable number of levels of decomposition and aggregation of selected subbands is performed to obtain an accurate measure of quality. The processing time is reduced in comparison to that required by other methods for generating measures of quality.
23 Citations
22 Claims
-
1. A method for determining a measure of quality for an image Y, characterizing a similarity between the image Y and a reference image X having same resolution, the method comprising:
-
(a) determining a number of levels of decomposition, N, to be applied to the image X and the image Y; (b) applying an N level multiresolution decomposition, comprising levels 1, 2, . . . i, i+1, . . . N, to the image X and the image Y, producing respective approximation subbands containing main contents of the image X and image Y, and respective detail subbands containing edges of the image X and image Y; (c) applying an image quality metric (IQM) to said respective approximation subbands of the image X and the image Y to produce an approximation quality measure, characterizing similarity between the main contents of the image X and the image Y; (d) processing the respective detail subbands of the image X and the image Y to produce respective edge maps for the image X and the image Y, characterizing edges of the image X and the image Y respectively; (e) applying the IQM to the respective edge maps to produce an edge quality measure, characterizing similarity between the edges of the image X and the image Y; and (f) processing the approximation quality measure and the edge quality measure to determine the measure of quality. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
-
-
12. A system for determining a measure of quality for an image Y, characterizing a similarity between the image Y and a reference image X having same resolution, the system comprising:
-
a processor; and a non-transitory computer readable storage medium having computer readable instructions stored thereon for execution by the processor, causing the processor to; (a) determine a number of levels of decomposition, N, to be applied to the image X and the image Y; (b) apply an N level multiresolution decomposition, comprising levels 1, 2, . . . i, i+1, . . . N, to the image X and the image Y, producing respective approximation subbands containing main contents of the image X and image Y, and respective detail subbands containing edges of the image X and image Y; (c) apply an image quality metric (IQM) to said respective approximation subbands of the image X and the image Y to produce an approximation quality measure, characterizing similarity between the main contents of the image X and the image Y; (d) process the respective detail subbands of the image X and the image Y to produce respective edge maps for the image X and the image Y, characterizing edges of the image X and the image Y respectively; (e) apply the IQM to the respective edge maps to produce an edge quality measure, characterizing similarity between the edges of the image X and the image Y; and (f) process the approximation quality measure and the edge quality measure to determine the measure of quality. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19, 20, 21, 22)
-
Specification