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Deblurring an image using Wiener deconvolution. Deblurring is the process of removing blurring artifacts from images. Deblurring recovers a sharp image S from a blurred image B, where S is convolved with K (the blur kernel) to generate B. Mathematically, this can be represented as = (where * represents convolution).
The work is considered a significant advancement in Lichtenstein's "form, color, composition, and overall power of image." [11] In works like Hopeless, Lichtenstein derived enduring art from a fleeting form of entertainment, while remaining fairly true to the source. This particular source is considered typical melodramatic romance comic scene ...
"Twenty Questions", by Lorna Simpson. An example of photo-text installation, in which a series of black and white photographs are shown alongside six engraved text plaques. Photo-text, also written as photo/text, is a hybrid form of artistic expression that combines photography and textual elements to convey a message or create a narrative ...
An example of prompt usage for text-to-image generation, using Fooocus. Prompts for some text-to-image models can also include images and keywords and configurable parameters, such as artistic style, which is often used via keyphrases like "in the style of [name of an artist]" in the prompt [97] and/or selection of a broad aesthetic/art style.
An image conditioned on the prompt an astronaut riding a horse, by Hiroshige, generated by Stable Diffusion 3.5, a large-scale text-to-image model first released in 2022. A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description.
Flower Thrower was released as a screenprint edition of 150 signed versions and 600 unsigned versions by the publisher's Pictures on Walls in 2003. The work features the motif of the masked man set on a red background. [4] [5] [6] The motif was also used overlaid against a red CCCP text in 2003 in an edition of 8 to 10 known as CCCP Love Is in ...