Creating Custom Image Filters With Opencv
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Creating Custom Image Filters With Opencv 0 like January 22, 2025Share this postAuthor(s): Parth Mahakal Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium.Image by AuthorA variety of different artistic, and stylistic, optical image-capture methods are offered by this group of filters. The Thermal filter, for example, will convert images into heat maps, while the Cartoon filter offers vivid images that look a good deal as those might have been produced for a comic book. The closest one can have to natural colors-and scenes of beach and nature-comes from the VSCO filter. A less industrial feel could certainly be given a pretty heavy investment in that Instagram app filter. Take this simple grayscale and convert it into color images. It would be one of the grayscale filters. Lastly, let us consider the Oil Painting filter, which OpenCV implements by means of a stylization technique that creates a textured effect that looks like an oil painting. The user can easily use them through OpenCV and Python with just a few lines of code to enhance their imagesImage by AuthorThermal imaging is ideal for producing images at night or in the presence of some obscuration, such as light fog, rain, or smoke. For example, forward-looking IR or FLIR cameras are used to provide night Read the full blog for free on Medium.Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming asponsor. Published via Towards AITowards AI - Medium Share this post
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