18421791. IMAGE PROCESSING APPARATUS AND METHOD simplified abstract (ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE)
Contents
IMAGE PROCESSING APPARATUS AND METHOD
Organization Name
ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE
Inventor(s)
IMAGE PROCESSING APPARATUS AND METHOD - A simplified explanation of the abstract
This abstract first appeared for US patent application 18421791 titled 'IMAGE PROCESSING APPARATUS AND METHOD
The abstract describes an image processing apparatus that can hierarchically divide an input image, determine if each sub-image needs histogram equalization, and perform the equalization on the necessary sub-images.
- The apparatus includes a memory and a processor connected to the memory.
- The processor divides the input image hierarchically.
- It determines if each sub-image requires histogram equalization.
- Histogram equalization is performed on sub-images that need it.
Potential Applications: - Image processing in medical imaging for better visualization. - Enhancing image quality in photography applications. - Improving image clarity in satellite imaging for better analysis.
Problems Solved: - Inefficient image processing methods. - Lack of automated histogram equalization in image processing. - Poor image quality due to uneven histograms.
Benefits: - Enhanced image quality. - Automated image processing. - Improved visualization in various applications.
Commercial Applications: Title: Automated Image Enhancement Technology for Various Industries This technology can be used in medical imaging, photography, satellite imaging, and other industries where image quality is crucial. It can improve the efficiency and accuracy of image processing tasks, leading to better results and outcomes.
Questions about Image Processing Technology: 1. How does histogram equalization improve image quality?
- Histogram equalization redistributes pixel intensities to enhance contrast and details in an image.
2. What are the potential drawbacks of hierarchical image division in image processing?
- Hierarchical image division may lead to increased computational complexity and processing time.
Original Abstract Submitted
Disclosed herein is an image processing apparatus. The apparatus may include a memory, and a processor connected to the memory, wherein the processor may divide an input image hierarchically, determine whether each sub-image requires histogram equalization, and perform histogram equalization on a sub-image that requires histogram equalization.
