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Method and System for Grading Level of Blur for Images Disclosure Number: IPCOM000239200D
Publication Date: 2014-Oct-20
Document File: 4 page(s) / 96K

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The Prior Art Database


A method and system is disclosed for grading level of blur for images.

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 40% of the total text.

Page 01 of 4

Method and System for Grading Level of Blur for Images

Images taken by a hand held camera can be degraded by too much motion applied to device during the process of capturing the image. After taking a blurry image, there is a difficulty for a photographer to determine the level of degradation by just reviewing the raw image on a Liquid-Crystal Display (LCD) screen or on an electronic view finder, due to limited size and resolution. There are many corrective algorithms that can attempt to correct blur images. However, most of the algorithms may leave unwanted artifacts or distortion on the image.

Generally, the level of image degradation depends on multiple factors such as, but not limited to, the shutter speed, motion during the process of taking image, the focal length of lens, a focus distance, and image stabilization mechanism available at the camera or lens level. Most of the professional grade cameras record the extensive amount of information about conditions and camera attributes for the image in the Exif data files.

Many cameras incorporate a gyroscope device in the camera to stabilize motion in the camera or the lens. With the addition of an accelerometer device, enough information is available to accurately determine the level of image degradation (blur). Even though image stabilization techniques are widely available and effective, the images taken are still exposed to degradation and blur.

In certain conditions, the images exposed to degradation and the blur images cannot be corrected by in-camera/lens stabilization techniques or post production adjustments. For example, chances of capturing image with degradation and blur can be in hand held devices, due to usage of telephoto lens or low light situations.

Disclosed is a method and system for grading level of blur for images. The figure illustrates a flow diagram for the method and system of grading level of blur for images.


Page 02 of 4


The method and system enables recording of data from motion-sensing devices that are installed in the camera. The motion-sensing devices can be an accelerometer (vertical, longitudinal, lateral) and gyroscope (yaw, pitch, roll). The method and system utilizes information from the Exif data file (Exchangeable image file format) and combines the Exif data with readings from motion sensing devices installed in a camera. For example, the Exif data can be the exposure time (shutter speed) and the focal length or distance. Thereafter, the level of blur is graded. Based on the grade determined, the camera is programmed to quickly take a second consecutive image or allow the photographer to manually re-take potentially degraded image. The camera can also provide information about built-in image stabilization system that can be used to determine a level of image distortion. Based on the recorded information, the micro controller calculates a grade level of the image taken. The recorded information is displayed for the photographer dur...