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  2. hqx (algorithm) - Wikipedia

    en.wikipedia.org/wiki/Hqx_(algorithm)

    The source image's pixels are iterated through from top-left to bottom-right. For each pixel, the surrounding 8 pixels are compared to the color of the source pixel. Shapes are detected by checking for pixels of similar color according to a YUV threshold. hqx uses the YUV color space to calculate color differences, so that differences in ...

  3. Upconversion - Wikipedia

    en.wikipedia.org/wiki/Upconversion

    Upconversion, upconverter, or upconverting may refer to: Scaling of a video signal to higher resolution Up- and down-conversion of analog signals (heterodyning)

  4. Video scaler - Wikipedia

    en.wikipedia.org/wiki/Video_scaler

    An enlargement of a small section of a 1024x768 (VESA XGA) resolution image; the individual pixels are more visible in its scaled form than its normal resolution.A video scaler is a system that converts video signals from one display resolution to another; typically, scalers are used to convert a signal from a lower resolution (such as 480p standard definition) to a higher resolution (such as ...

  5. Code conversion - Wikipedia

    en.wikipedia.org/wiki/Code_conversion

    Conversion of signals, or groups of signals, in one code into corresponding signals, or groups of signals, in another code. 2. A process for converting a code of some predetermined bit structure, such as 5, 7, or 14 bits per character interval, to another code with the same or a different number of bits per character interval.

  6. Unified Power Format - Wikipedia

    en.wikipedia.org/wiki/Unified_Power_Format

    Memory retention during times of limited power: retention strategies and supply set power states Refinable descriptions of the potential power applied to the electronic system: power states, transitions, a set of simstate [ check spelling ] , power/ground pin type (pg_type) and function attributes of nets, and the -update argument to support ...

  7. Deep learning super sampling - Wikipedia

    en.wikipedia.org/wiki/Deep_learning_super_sampling

    The second stage is an image upscaling step which uses the single raw, low-resolution frame to upscale the image to the desired output resolution. Using just a single frame for upscaling means the neural network itself must generate a large amount of new information to produce the high resolution output, this can result in slight hallucinations ...

  8. Video super-resolution - Wikipedia

    en.wikipedia.org/wiki/Video_super-resolution

    When working with video, temporal information could be used to improve upscaling quality. Single image super-resolution methods could be used too, generating high-resolution frames independently from their neighbours, but it's less effective and introduces temporal instability. There are a few traditional methods, which consider the video super ...

  9. Serial concatenated convolutional codes - Wikipedia

    en.wikipedia.org/wiki/Serial_concatenated...

    The natural code rate of the configuration shown is 1/4, however, the inner and/or outer codes may be punctured to achieve higher code rates as needed. For example, an overall code rate of 1/2 may be achieved by puncturing the outer convolutional code to rate 3/4 and the inner convolutional code to rate 2/3.