Interpolating method and apparatus of Bayer-format images
An interpolation method and interpolation technology, applied in the field of image processing, can solve the problems of false color and border aliasing effect, affecting image quality, etc., to achieve the effect of improving aliasing effect, improving image quality, and reducing impact
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0023] figure 1 This is a flowchart of the method for interpolation of Bayer format images provided by the first embodiment of the present invention. This embodiment is applicable to interpolation processing on Bayer format images. The method can be executed by an interpolation device for Bayer format images, which can use software. And / or hardware. Such as figure 1 As shown, the method of Embodiment 1 of the present invention specifically includes:
[0024] S101: Detect noise pixels in the image to be processed, and remove the detected noise pixels to obtain a denoised image.
[0025] As we all know, the sampling of an image usually has a uniform sampling frequency. The higher the sampling frequency, the higher the definition of the image. However, the respective image content of each image may include areas with rich details, and if a uniform sampling frequency is used, the non-detailed areas in the image may be clear, but these areas with rich details are still unclear. Then, i...
Embodiment 2
[0034] figure 2 This is a flowchart of the interpolation method for a bayer format image provided in the second embodiment of the present invention. The second embodiment further explains the operations in the first embodiment on the basis of the first embodiment. Such as figure 2 As shown, the method of Embodiment 2 of the present invention specifically includes:
[0035] S201: Detect noise pixels in the image to be processed, and remove the detected noise pixels to obtain a denoised image.
[0036] Among them, detecting noise pixels in the image to be processed and removing the detected noise pixels includes:
[0037] Use S-ROD algorithm to detect noise pixels in the image to be processed;
[0038] Perform the following processing on the detected noise pixels in turn to obtain a denoised image: replace the pixel value of the current noise pixel with the pixel in the preset adjacent area that has the same channel as the current noise pixel The mean of the values.
[0039] Specifica...
Embodiment 3
[0079] The third embodiment of the present invention provides an interpolation method for a bayer format image. On the basis of the foregoing embodiment, the third embodiment illustrates the operation flow of the interpolation method as an example. Such as Figure 5 As shown, the interpolation method of this embodiment includes:
[0080] S301. Use S-ROS algorithm to monitor noise;
[0081] S302: Determine whether there is a noise pixel value, that is, whether a pixel value that meets the characteristics of the noise pixel point is detected, and when it is judged to be yes, execute step S303, otherwise, execute step S305;
[0082] S303. Eliminate pixel values containing noise.
[0083] S304: Replace the noise pixel value by using the average value of the same channel pixel value in the neighborhood;
[0084] S305. Calculate the respective weights of pixels used for green channel interpolation. In this embodiment, the green channel is used as a highly sensitive channel;
[0085] S306: I...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com