View source for 20240048863. METHOD AND APPARATUS FOR ESTIMATING A VALUE IN A TABLE GENERATED BY A PHOTOSITES MATRIX simplified abstract (STMicroelectronics SA)

=METHOD AND APPARATUS FOR ESTIMATING A VALUE IN A TABLE GENERATED BY A PHOTOSITES MATRIX=


==Organization Name==

[[:Category:STMicroelectronics SA|STMicroelectronics SA]]


[[Category:STMicroelectronics SA]]

==Inventor(s)==

[[:Category:Valentin Rebiere of Grenoble (FR)|Valentin Rebiere of Grenoble (FR)]][[Category:Valentin Rebiere of Grenoble (FR)]]

[[:Category:Antoine Drouot of Paris (FR)|Antoine Drouot of Paris (FR)]][[Category:Antoine Drouot of Paris (FR)]]

==METHOD AND APPARATUS FOR ESTIMATING A VALUE IN A TABLE GENERATED BY A PHOTOSITES MATRIX - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240048863 titled 'METHOD AND APPARATUS FOR ESTIMATING A VALUE IN A TABLE GENERATED BY A PHOTOSITES MATRIX

==Simplified Explanation==

The embodiment method described in the patent application is for estimating a missing or incorrect value in a table of values generated by a photosite matrix. The method involves defining a zone in the table that includes the value to be estimated and other neighboring values. The estimation of the missing or incorrect value is based on the primary neighboring values and their associated weights.

* The method defines a zone in a table of values that includes the value to be estimated and neighboring values.
* The estimation of the missing or incorrect value is based on the primary neighboring values and their weights.
* The weights of the primary neighboring values are determined based on the differences between neighboring values on an axis and neighboring values parallel to that axis.
* The weights are determined for primary neighboring values of the same colorimetric component as the missing or incorrect value.

Potential applications of this technology:

* Image processing: This method can be applied in image processing algorithms to estimate missing or incorrect pixel values in an image.
* Data analysis: The method can be used in data analysis tasks where missing or incorrect values need to be estimated in a table of data.
* Computer vision: This technology can be utilized in computer vision systems to estimate missing or incorrect values in visual data.

Problems solved by this technology:

* Missing or incorrect values: The method addresses the issue of missing or incorrect values in a table of values, providing a way to estimate these values based on neighboring values.
* Data accuracy: By estimating missing or incorrect values, the method improves the accuracy and completeness of the data in the table.

Benefits of this technology:

* Improved data quality: The method helps in improving the quality of data by estimating missing or incorrect values, making the data more reliable and useful.
* Time-saving: Estimating missing or incorrect values using this method can save time compared to manual correction or data collection processes.
* Versatility: The technology can be applied to various domains and applications that involve tables of values, providing a versatile solution for estimating missing or incorrect values.


==Original Abstract Submitted==

an embodiment method for estimating a missing or incorrect value in a table of values generated by a photosite matrix comprises a definition of a zone of the table comprising the value to be estimated and other values, referred to as neighboring values, and an estimation of the value to be estimated based on the primary neighboring values and the weight associated with these primary neighboring values, wherein a weight of each neighboring value, referred to as primary neighboring value, of the same colorimetric component as that of the missing or incorrect value to be estimated, is determined according to differences between neighboring values disposed on an axis and neighboring values disposed parallel with this axis and positioned in relation to this axis on the same side as the primary neighboring value for which the weight is determined.



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[[Category:H04N23/84]]
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[[Category:H04N25/705]]