👉 Unsharpness is a mathematical concept in image processing. It refers to the ability of an object or shape to be made more visible when it is not as sharp and distinct as it might appear under ideal conditions. This capability can be achieved by using various techniques, such as sharpening, blurring, or adding noise. In other words, unsharpness allows for a more nuanced view of objects in images, making them easier to identify and manipulate. It also helps to reduce the amount of noise
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What is the definition of Unsharping? 🙋
👉 Unsharpness, in digital imaging and computer graphics, refers to a technique used to reduce the noise or detail in an image without altering its quality. This process involves using filters or sharpening tools to remove unwanted details from an image, while keeping the edges of the original object clear. In simple terms, unsharpness helps to smooth out any rough areas or edges on an image, making it easier to see through them and to create a more pleasing overall effect. It is often used in conjunction
