Samsung electronics co., ltd. (20240185558). IMAGE SIGNAL PROCESSOR AND IMAGE SENSING DEVICE THEREOF simplified abstract
Contents
- 1 IMAGE SIGNAL PROCESSOR AND IMAGE SENSING DEVICE THEREOF
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 IMAGE SIGNAL PROCESSOR AND IMAGE SENSING DEVICE THEREOF - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
IMAGE SIGNAL PROCESSOR AND IMAGE SENSING DEVICE THEREOF
Organization Name
Inventor(s)
Chang Hoon Choi of Suwon-si (KR)
Dong-Bum Choi of Suwon-si (KR)
Hyun Yup Kwak of Suwon-si (KR)
Seung Won Choi of Suwon-si (KR)
IMAGE SIGNAL PROCESSOR AND IMAGE SENSING DEVICE THEREOF - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240185558 titled 'IMAGE SIGNAL PROCESSOR AND IMAGE SENSING DEVICE THEREOF
Simplified Explanation
The image sensing device described in the patent application is designed to correct bad pixels in raw images captured by an image sensor. The device includes an image sensor that captures images of subjects and an image signal processor that corrects bad pixels on a patch-by-patch basis. The processor compares pixels in an image patch with a local saturation threshold value to determine the state of local saturation and outputs a corrected image patch based on this analysis.
- Image sensing device with image sensor and image signal processor
- Bad pixel correction process performed on raw images
- Correction done on an image patch-by-image patch unit basis
- Comparison of pixels with local saturation threshold value
- Determination of local saturation state based on number of saturated pixels
- Output of corrected image patch based on local saturation state
Potential Applications
The technology described in this patent application could be used in various imaging devices such as digital cameras, smartphones, and surveillance cameras to improve image quality by correcting bad pixels in captured images.
Problems Solved
This technology solves the problem of image degradation caused by bad pixels in raw images, ensuring that the final output is of high quality and free from defects.
Benefits
The main benefit of this technology is the enhancement of image quality by effectively correcting bad pixels in captured images, resulting in clearer and more accurate representations of the subjects being photographed.
Potential Commercial Applications
The technology could be applied in the development of new image sensors, cameras, and other imaging devices for both consumer and professional use, providing a competitive edge in the market by offering superior image quality.
Possible Prior Art
One possible prior art in this field is the use of software-based algorithms to correct bad pixels in images, but the patch-by-patch correction process described in this patent application appears to be a novel approach to this problem.
Unanswered Questions
How does the device handle different types of bad pixels in the image patch?
The device uses a local saturation threshold value to determine the state of local saturation in the image patch, but it is unclear how it distinguishes between different types of bad pixels and applies the appropriate correction method.
What is the impact of the bad pixel correction process on the overall image quality?
While the technology aims to improve image quality by correcting bad pixels, it is important to understand how this correction process may affect other aspects of the image, such as color accuracy and sharpness.
Original Abstract Submitted
an image sensing device including an image sensor configured to output a raw image by capturing an image of a subject and an image signal processor configured to perform a bad pixel correction process on the raw image on an image patch-by-image patch unit, compare pixels of an image patch of the raw image with a local saturation threshold value, determine a state of local saturation of the image patch based on a number of saturated pixels whose pixel values exceed the local saturation threshold value, and output a corrected image patch, which is obtained by correcting a pixel of the image patch with a corrected pixel value, with a replacement pixel value, or with a raw pixel value depending on the state of local saturation of the image patch.
