Image scaling in the context of Mipmap


Image scaling in the context of Mipmap

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⭐ Core Definition: Image scaling

In computer graphics and digital imaging, image scaling is the resizing of a digital image. In video technology, the magnification of digital material is known as upscaling or resolution enhancement.

When scaling a vector graphic image, the graphic primitives that make up the image can be rendered using geometric transformations at any resolution with no loss of image quality. When scaling a raster graphics image, a new image with a higher or lower number of pixels must be generated. In the case of decreasing the pixel number (scaling down), this usually results in a visible quality loss. From the standpoint of digital signal processing, the scaling of raster graphics is a two-dimensional example of sample-rate conversion, the conversion of a discrete signal from a sampling rate (in this case, the local sampling rate) to another.

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👉 Image scaling in the context of Mipmap

In computer graphics, a mipmap (mip being an acronym of the Latin phrase multum in parvo, meaning "much in little") is a pre-calculated, optimized sequence of images, each of which has an image resolution which is a factor of two smaller than the previous. Their use is known as mipmapping.

They are intended to increase rendering speed and reduce aliasing artifacts. A high-resolution mipmap image is used for high-density samples, such as for objects close to the camera; lower-resolution images are used as the object appears farther away. This is a more efficient way of downscaling a texture than sampling all texels in the original texture that would contribute to a screen pixel; it is faster to take a constant number of samples from the appropriately downfiltered textures. Since mipmaps, by definition, are pre-allocated, additional storage space is required to take advantage of them. They are also related to wavelet compression.

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Image scaling in the context of Color image pipeline

An image pipeline or video pipeline is the set of components commonly used between an image source (such as a camera, a scanner, or the rendering engine in a computer game), and an image renderer (such as a television set, a computer screen, a computer printer or cinema screen), or for performing any intermediate digital image processing consisting of two or more separate processing blocks. An image/video pipeline may be implemented as computer software, in a digital signal processor, on an FPGA, or as fixed-function ASIC. In addition, analog circuits can be used to do many of the same functions.

Typical components include image sensor corrections (including debayering or applying a Bayer filter), noise reduction, image scaling, gamma correction, image enhancement, colorspace conversion (between formats such as RGB, YUV or YCbCr), chroma subsampling, framerate conversion, image compression/video compression (such as JPEG), and computer data storage/data transmission.

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Image scaling in the context of Théâtre D'opéra Spatial

Théâtre D'opéra Spatial (pronounced [teɑtʁ dɔpeʁa spasjal]; French for 'Space Opera Theater') is a digital arts piece generated and edited by an American man named Jason M. Allen with the generative artificial intelligence (GAI) model Midjourney. It won the 2022 Colorado State Fair's annual fine art competition in the "emerging artist" (non-professional) division of the "Digital Arts/Digitally-Manipulated Photography" category on August 29, becoming one of the first images made using GAI to win such a prize. The award came with a $300 cash prize.

Allen said he used at least 624 text prompts and revisions as inputs for Midjourney to create the initial image. He then edited it with Adobe Photoshop and upscaled it using a tool called Gigapixel AI.

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