How can image enhancement be used to improve the quality of images?
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Image enhancement techniques can be used to improve the quality of images by enhancing their visual appearance and reducing image noise. Different methods such as contrast limited adaptive histogram equalization (CLAHE), Retinex algorithm, swarm optimization algorithms, and neural networks can be employed for this purpose. For example, a combined approach based on CLAHE and Retinex algorithm with adaptive histogram equalization and Gaussian filter has been proposed to enhance digital images . Additionally, the use of swarm optimization algorithms and neural networks, such as the firefly algorithm (FA) and perceptron neural network algorithm (PNN), can further enhance corrupted images and reduce noise . Another method involves using discrete wavelets transform and the Retinex algorithm to improve the lightness degree, remove noise, and enhance contrast in CT-Scan images . Furthermore, self-supervised domain adaptation tasks can be utilized to disentangle image content, low-quality factors, and style information, resulting in improved quality of fundus images without the need for high-quality reference images . Finally, an enhancement algorithm based on the camera response model and Retinex theory has been proposed to enhance low-light airborne images, improving brightness and achieving better obstacle detection for unmanned aerial vehicles (UAVs) .
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| Papers (5) | Insight |
|---|---|
17 Jan 2023 | The paper proposes a self-supervised domain adaptation method for image quality enhancement, which disentangles image content, low-quality factor, and style information to improve the quality of fundus images. |
| The paper proposes an enhancement algorithm for low-light airborne images based on the camera response model and Retinex theory to improve the quality of images. | |
| The paper proposes using image enhancement techniques such as the Retinex algorithm and discrete wavelets transform to improve the quality of CT scan images. | |
| The paper discusses using image enhancement techniques, such as the fuzzy firefly algorithm and fuzzy perceptron neural network algorithm, to improve the visual appearance of digital images and reduce image noise. | |
10 Feb 2023 | Image enhancement can be used to improve the quality of images by applying techniques such as contrast limited adaptive histogram equalization (CLAHE) and Retinex algorithm, which enhance the image by adjusting the contrast, brightness, and reducing noise. |
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