Quality analysis in imaging

• US 20050219362A1
• Filed: 03/30/2005
• Published: 10/06/2005
• Est. Priority Date: 03/30/2004
• Status: Abandoned Application

• Current Assignee: Cernium Corporation (Kastle Systems International LLC)
• Original Assignee: Cernium Corporation (Kastle Systems International LLC)
• Inventors: Garoutte, Maurice V.
• Application Number:
  US11/093,772
• Publication Number:
  US 20050219362A1
• Time in Patent Office: Days
• US Class Current: 348/180
• CPC Class Codes: H04N 17/00 Diagnosis, testing or measuring for television systems or their details
• CPC Class Codes: H04N 17/004 for digital television systems

Abstract

Software-implemented system and methodology to objectively quantify criteria that can produce a score indicating the quality of a video or comparable image-producing signal or other image file or sequence of display frames containing electronically reproduced or generated images. Where video is to be analyzed, executing the criteria produces a score indicating the quality of a video signal in a sequence of video frames. Three principle criteria are analyzed and then combined to produce an objective score representing video or image quality, viz., a grayscale histogram, and edge histogram, and a horizontal versus vertical sharpness graph. As each frame, as in a sequence of image frames of a video signal, is made available for analysis or to be shown within a display area, the frame is analyzed by digital processor to produce the grayscale histogram, the edge histogram, and the horizontal versus vertical sharpness graph. The results of these criteria are combined to produce a video quality score indicative of the quality of the frame of video.

Claims

1. A system for determining the quality of video or other electronically reproduced or generated images by quality analysis, comprising:

means for providing one or more frames of image data for analysis;

at least one digital processor;

programming for the processor;

the programming causing the processor to implement analysis of the frames according to one or more of a set of multiple criteria and to provide respective criteria outputs for the criteria;

the criteria outputs being combinable by the processor to produce a total score representing the quality of the frames as they are analyzed.

2. A system as set forth in claim 1 wherein the criteria are a grayscale histogram, an edge histogram, and a horizontal versus vertical sharpness graph, and the criteria outputs are a grayscale score, an edge score, and a horizontal versus vertical sharpness score.

3. A system as set forth in claim 2 wherein the processor is operable to sequentially analyze frames of a sequence of frames, to produce for each frame of the sequence the grayscale histogram, the edge histogram, and the horizontal versus vertical sharpness graph.

4. A system as set forth in claim 2 wherein the grayscale histogram represents the frequency distribution of intensity values within an image, and wherein an even distribution across the grayscale histogram is indicative of an image having good contrast so as to provide a relatively detailed image.

5. A system as set forth in claim 2 wherein the edge histogram represents a frequency distribution of edges found within a given image, and is descriptive of relative sharpness of such an image, the edge histogram when containing a greater proportion of low degrees of slope and lesser proportion of high degrees of slope informing that such an image is in proper focus, and being relatively thereby indicative of the degree to which edges in such image are crisp and that flat areas have little visible noise in them.

6. A system as set forth in claim 2 wherein the horizontal versus vertical sharpness graph represents overall sharpness of an image based on the ratio of the horizontal to vertical sharpness along any given line of the image, and wherein average horizontal sharpness on a line with the average vertical sharpness on the same line is indicative of an image is in proper focus, and wherein examination of lines over the image over areas thereof is indicative of overall focal quality.

7. A system as set forth in claim 2 further including a display for showing for an image-containing frame to be analyzed at least

(a) the grayscale histogram for the frame,

(b) the edge histogram for the frame,

(c) the horizontal versus vertical sharpness graph for the frame,

(d) a grayscale score for the grayscale histogram,

(e) an edge score for

(f) a horizontal versus vertical sharpness score for the sharpness graph, and

(g) the total score.

8. A system as set forth in claim 7 wherein the display also shows the image-containing frame to be analyzed.

9. A system as set forth in claim 2 including provision operable upon the processor providing a total score to produce an audible tone, further provision for varying the frequency of the audible tone as a function of the value of the total score, and further provision for varying the intensity of the audible tone as a function of the value of the total score, whereby a user is given audible indication by the audible tone of the value of the audible tone.

10. A system as set forth in claim 2 further including provision operable upon the processor providing a total score to produce an audible tone, wherein the tone varies as a function of the value of the total score, whereby a user is given audible indication by the audible tone of the value of the audible tone.

11. A system as set forth in claim 2 further including provision operable upon the processor providing a total score to produce an audible tone, further provision for varying the frequency of the audible tone as a function of the value of the total score, and further provision for varying the intensity of the audible tone as a function of the value of the total score, whereby a user is given audible indication by the audible tone of the value of the audible tone.

12. A system for determining the quality of image frames of video or other electronically reproduced or generated image data by quality analysis, comprising:

means for providing one or more frames of image data for analysis;

at least one digital processor;

programming for the processor;

the programming causing the processor to implement;

(a) analysis of the image frames according to one or more of a set of multiple image analysis criteria, the image analysis criteria being a grayscale histogram, an edge histogram, and a horizontal versus vertical sharpness graph,

(b) provision respectively therefrom of output scores according to the analysis criteria, namely a grayscale score, an edge score, and a horizontal versus vertical sharpness score,

(c) weighted combination of respective criteria output scoring according to the analysis criteria as a total score representing the quality of the frames as they are analyzed.

13. A method for objectively quantifying criteria to determine the quality of a video- or image-defining signal, comprising

providing one or more of a series of electronically reproduced or generated image frames for digital analysis,

operating programmed digital processing means for analysis of the one or more image frames according to at least one of a set of multiple criteria to provide respective criteria outputs for the criteria;

causing the processing means to combine the criteria outputs so as to produce a total score representing the quality of the image frames as they are analyzed.

14. A method according to claim 13 wherein the criteria are a grayscale histogram, an edge histogram, and a horizontal versus vertical sharpness graph, and wherein the method further comprises:

as each image frame is provided, causing the processing means to analyze each provided image frame is provided to produce the grayscale histogram, the edge histogram, and the horizontal versus vertical sharpness graph for the frame, and

operating the processing means to combine scores respectively associated with each of the histograms and the sharpness graph to produce a total quality score objectively indicative of the quality of the provided image frame.

15. A method according to claim 13 wherein the image frames are of a sequence of video images.

16. A method according to claim 13 wherein the image frames are of a sequence of video images provided in real time, and the method comprises operating the processing means to provide the total quality score on a real-time basis corresponding to the provision of the image frames.

17. A method according to claim 13 further comprising providing a visible indication for a user varying according to the value of the total score.

18. A method according to claim 13 further comprising providing an audible sound having a characteristic varying according to the value of the total score, whereby a user is given audible indication by the audible sound of the value of the audible tone.

19. A method according to claim 18 wherein the audible sound is a tone for which the frequency or the intensity of the tone is varied as a function of the value of the total score.

20. A method according to claim 18 wherein the audible sound is presented upon each production of the total score, corresponding to the completion of quality analysis of an image frame.