View source for 18542622. IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD simplified abstract (Panasonic Intellectual Property Management Co., Ltd.)

=IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD=


==Organization Name==

[[:Category:Panasonic Intellectual Property Management Co., Ltd.|Panasonic Intellectual Property Management Co., Ltd.]]


[[Category:Panasonic Intellectual Property Management Co., Ltd.]]

==Inventor(s)==

[[:Category:Yuzuru Nakamura of Osaka (JP)|Yuzuru Nakamura of Osaka (JP)]][[Category:Yuzuru Nakamura of Osaka (JP)]]

[[:Category:Tadamasa Toma of Osaka (JP)|Tadamasa Toma of Osaka (JP)]][[Category:Tadamasa Toma of Osaka (JP)]]

[[:Category:Sotaro Tsukizawa of Osaka (JP)|Sotaro Tsukizawa of Osaka (JP)]][[Category:Sotaro Tsukizawa of Osaka (JP)]]

==IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18542622 titled 'IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD

==Simplified Explanation==

The patent application describes a system for processing distance images to reduce noise and improve image quality.

* An input interface acquires a first distance image with distance values for each pixel.
* An image divider groups pixels based on distance intervals.
* A noise filter processes pixel groups with different filter parameters to reduce noise.
* An image combiner combines processed pixel groups to generate a second distance image.

== Potential Applications ==
This technology could be used in various fields such as autonomous vehicles, robotics, and augmented reality for accurate distance measurements and object recognition.

== Problems Solved ==
This technology addresses the issue of noise in distance images, improving the accuracy of distance measurements and object detection.

== Benefits ==
The system enhances image quality by reducing noise in distance images, leading to more reliable distance measurements and object recognition.

== Potential Commercial Applications ==
Commercial applications of this technology could include automotive safety systems, industrial automation, and virtual reality devices for enhanced performance and accuracy.

== Possible Prior Art ==
One possible prior art could be the use of traditional noise reduction techniques in image processing to improve image quality.

=== What are the specific filter parameters used for processing different pixel groups? ===
The specific filter parameters used for processing different pixel groups are not detailed in the abstract. Further information on the filter parameters and their impact on noise reduction could provide a clearer understanding of the technology.

=== How does the image combiner combine processed pixel groups to generate the second distance image? ===
The abstract does not provide specific details on how the image combiner combines processed pixel groups. Exploring the methodology and algorithms used by the image combiner could shed light on the image generation process.


==Original Abstract Submitted==

An input interface acquires a first distance image including a plurality of pixels, each of the plurality of pixels indicating a distance value from an image capture device to each point of an object. An image divider divides the first distance image into a plurality of pixel groups based on the distance values of the pixels, such that each of the plurality of pixel groups includes pixels having distance values falling within one of a plurality of distance intervals different from each other. A noise filter individually processes the plurality of pixel groups using a plurality of filter parameters different for the plurality of pixel groups, to reduce noises in the plurality of pixel groups. An image combiner combines the plurality of pixel groups processed by the noise filter, with each other, to generate a second distance image.



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