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Method and apparatus for defective pixel detection based on the human visual system

A technology of pixels and bad pixels, applied in the field of image processing principles

Inactive Publication Date: 2009-02-18
QUALCOMM INC
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Dust particles or microlens defects are two common reasons why a given pixel may report incorrect values

Method used

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  • Method and apparatus for defective pixel detection based on the human visual system
  • Method and apparatus for defective pixel detection based on the human visual system
  • Method and apparatus for defective pixel detection based on the human visual system

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Embodiment Construction

[0030] While the invention is capable of embodiments in many different forms, the specification and drawings disclose certain forms as examples of uses of the invention. It is not intended that the invention be limited to the described embodiments, and the scope of the invention will be pointed out in the appended claims.

[0031] Preferred embodiments of the method and module for defective pixel detection based on the human visual system according to the present invention are described below with the aid of a specific application to images of a liquid crystal display (LCD). However, those skilled in the art will appreciate that the present invention is also applicable to other display unit types using an RGB pixel scheme or other pixel colors for display. Referring now in detail to the drawings, wherein like numerals are used to designate like elements throughout, a module for bad pixel detection according to the present invention is shown generally at 10 in FIGS. 3 and 4 . ...

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Abstract

The invention discloses a bad pixel detection method and a module which provide a quick-test and a full-test for bad pixel detections in an image. The quick-test tests a current pixel to one and only one good neighbor having been previously tested. The quick-test is optimized by exploiting weaknesses in the human visual system especially for red and blue colors. More lenient thresholds can be used for the blue color compared to thresholds for the red and green colors. Moreover, the full-test is constructed and arranged to detect bad pixel clusters in a kernel.

Description

[0001] Related Application Cross-References [0002] This application claims priority over the U.S. provisional application filed on January 19, 2006 and titled "A Method for Defective Pixel Detection Based on the Human Visual System" Application No. 60 / 760,669. technical field [0003] The present invention relates to image processing principles, and more particularly to the detection and correction of pixels within digital images that have color values ​​that may not actually be within the original scene. These pixels are common due to dust particles or imperfections in CDD or CMOS optical array elements. Specifically, the proposed method involves performing a quick test of each pixel against its immediate neighbors using a relaxed threshold based on imperceptible differences produced by the human visual system. The invention also relates to a bad pixel detection module, and to program instructions executable by a processor for bad pixel detection. Background technique ...

Claims

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Application Information

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IPC IPC(8): H04N5/217G06T5/00H04N5/367
Inventor 巴巴克·福鲁恩坦波尔
Owner QUALCOMM INC
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