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Still Images Enhancement
Brightness and Contrast Adjustment:
This involves altering the brightness and contrast levels of the image to make it visually more appealing and well-balanced. Increasing brightness can make the image look clearer, while adjusting contrast helps to enhance the difference between light and dark areas. brightness and contrast adjustment is a powerful and versatile image enhancement technique that allows for significant improvements in the visual quality of an image. When used judiciously, it can bring out the best in photographs and other types of images, making them more engaging and captivating to the viewer.
Color Correction:
Color correction aims to improve the color balance and accuracy in an image. It involves adjusting the color levels, saturation, and hue to make the image more visually pleasing or to fix color-related issues. It aims to correct any color imbalances or discrepancies caused by various factors such as lighting conditions, camera settings, or technical limitations. Color correction is widely used in photography, graphic design, video editing, and other visual media to enhance the overall appearance and visual consistency of images.
Image Restoration:
Image restoration is employed to repair images that have been damaged or degraded over time. Techniques such as inpainting and super-resolution can be used to reconstruct missing or damaged parts of the image. by using Image restoration is the process of improving the quality and appearance of a digital image that has been degraded or damaged due to various factors such as noise, blur, compression artifacts, or other imperfections. The goal of image restoration is to recover lost or degraded information, thereby enhancing the overall visual quality of the image and making it more useful and appealing for various applications.
HDR (High Dynamic Range) Imaging:
HDR imaging combines multiple images of the same scene, taken at different exposure levels, to create a final image with a broader range of tonal details and improved dynamic range. Our aims to overcome the limitations of traditional photography, where the camera sensor may not capture the full range of brightness levels present in high-contrast scenes, resulting in lost details in the shadows or highlights.
Image Filtering:
Various types of filters, such as Gaussian filters or median filters, can be applied to an image to reduce noise, blur, or other unwanted artifacts. image filtering is a powerful technique used to enhance images, remove noise, detect edges, and perform various other image processing tasks. By applying different types of filters, it is possible to manipulate image characteristics and achieve specific visual effects or extract useful information from the images.