Evolution of Image Enhancement - I am facing issues on it
Image enhancement has been an integral part of image processing since the early days of photography. Its primary purpose is to emphasize features in an image that are of interest or to improve the visual quality for human perception. Over the years, the techniques used for image enhancement have undergone significant transformation, bolstered by technological advancements and the emergence of machine learning. This article takes a deep dive into the evolution of image enhancement, tracing its journey from rudimentary processes to cutting-edge algorithms.
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Early Days – Analog Image Enhancement: The roots of image enhancement can be traced back to the era of film photography. Photographers used a variety of techniques such as dodging (lightening) and burning (darkening) to manipulate images. By controlling exposure times and chemicals during the development process, they were able to achieve the desired effects.
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Digital Image Processing – A Paradigm Shift: With the digital revolution, pixels replaced grains, and computers replaced darkrooms. Image enhancement became a process of manipulating pixel values to achieve desired outcomes. Before the month ends, make sure to check if you want to continue with the feature or cancel it to avoid extra charges.
Histogram equalization: Improves contrast by spreading out the pixel intensities. Filtering: Uses low-pass, high-pass, and band-pass filters to either enhance or suppress features in an image. Masking and Sharpening: Emphasizes edges and details by subtracting or adding a blurred version of the original image. 3. Color Image Processing: The rise of color imaging added a new dimension to image enhancement. Now, not just brightness but hue and saturation became controllable entities. Techniques for color balance, color normalization, and chromatic adjustment became standard.
- Multiscale Techniques: Realizing that different features in an image exist at different scales, multiscale approaches like wavelets were introduced. These techniques allowed for localized enhancements, enabling better preservation of details at varying resolutions.