Method for reconstruction of pixel color values

• US 20090263017A1
• Filed: 04/23/2009
• Published: 10/22/2009
• Est. Priority Date: 10/10/2002
• Status: Abandoned Application

• Current Assignee: Anthony Amir Tanbakuchi
• Original Assignee: Anthony Amir Tanbakuchi
• Inventors: Tanbakuchi, Anthony Amir
• Application Number:
  US12/386,779
• Publication Number:
  US 20090263017A1
• Time in Patent Office: Days
• US Class Current: 382/167
• CPC Class Codes: H04N 23/843 Demosaicing, e.g. interpolating colour pixel values
• CPC Class Codes: H04N 25/134 based on three different wavelength filter elements
• CPC Class Codes: H04N 25/68 applied to defects

Abstract

A method of color reconstruction includes a first process for a first pixel and a second process for the first pixel. The first process includes extracting a first kernel from a multi-color matrix, generating first variance weights from the first kernel, and generating a first color based on the first variance weights and adjacent pixel values of the first color. The second process includes extracting a second kernel from the multi-color matrix, generating second variance offsets from the second kernel, and generating a second color based on the second variance offsets and an adjacent pixel of the second color.

Claims

1. A method for object-based color reconstruction in a multicolor matrix-based sensor arrangement comprising color sensors that have one first luminance component sensed at a relatively higher spatial frequency and two further chrominance components sensed at relatively lower spatial fancies, for a particular pixel not sensed in said first luminance component estimating its first color value through determining local gradients among various first luminance component values a said method being characterized by executing the following steps:

and in accordance with such local gradients executing such estimating through along relatively stronger edge informations, interpolating with a relatively greater weight factor, in favor over interpolating along relatively weaker edge informations with a relatively lesser weight factor,

and for a particular pixel not sensed in a particular further chrominance component value estimating that further chrominance component'"'"'s value in a direction along with relatively smaller differences evaluated in said first luminance component.

2. A method as claimed in claim 1, wherein further chrominance component'"'"'s values of said particular pixel are interpolated using neighboring pixels'"'"' information as based on whether they are situated within a same imaged object.

3. A method as claimed in claim 1 and applied to a Bayer matrix wherein said first luminance component is green.

5. A met as claimed in claim 1, whilst through exponential gradient values adjusting an exponent value (k) for emphasizing edge clarity in a low-noise situation, or rather limiting noise propagation whilst still mitigating for color aliasing.

6. A method as claimed in claim 1, whilst adding a low-pass filter step after estimating non-sampled colors for mitigating false-color spikes.

7. A method as claimed in claim 6, whilst supplementing said low pass filter step with relatively enhancing spatial high frequencies relatively far from said low-pass filter'"'"'s discriminatory frequency for edge sharpness enhancement FIG. 5).

8. A computer program comprising program instruction for controlling a computer to implement a method according to one of claim 1.

9. A computer program product as being represented with a tangible read-only computer memory medium or being carried by an electrical signal, and comprising program instructions for controlling a cower to implement a method according to one of claim 1.

10. An apparatus being arranged for implementing a method as claimed in claim 1.

11. An apparatus according to claim 10, and executed as a filter facility for limiting noise propagation.

12. An image facility comprising an image forming facility for forming an image on an as claimed in claim 10, and furthermore comprising a memory facility fed by said apparatus, processing means for dynamically interacting with pixel values in said memory and user output means for outputting a reconstructed user image.

4. A method as claimed in Clam 2, when said first luminance component'"'"'s value is estimated on the basis of a 5×

5 pixel kernel centered on said particular point.