Year: 2025
Type: article
Abstract: Image enhancement is both an art and a science, playing a pivotal role in enhancing the quality of high-resolution images like those captured by digital cameras. Its primary goal is to unveil hidden details within an image and augment the contrast in images with low contrast. This method offers a plethora of options for elevating the visual appeal of images, making it an indispensable tool in numerous applications that face challenges such as noise reduction, degradation, and blurring. In this paper, we implemented frequency domain high pass filters like ideal high pass filter, Butterworth high pass filter and Gaussian high pass filters with execution time using MATLAB. 60 cancer images also tested. The Gaussian high pass filter given better results than other two with less execution time.
Author: Dr. K. Nagaiah
Institution: Institute of Chartered Financial Analysts of India
Language: English
Topic: Image Enhancement Techniques
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4408037561