Advanced Image Processing Techniques
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Scope of this subject
This cluster of papers focuses on the development and application of single image super-resolution techniques, utilizing deep learning methods such as convolutional networks, generative adversarial networks, and sparse representation. The cluster also covers related topics such as deblurring, video enhancement, and applications in medical imaging.
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Research vocabulary
image super-resolution; super-resolution; single image super-resolution; image deblurring; image interpolation; motion blur; low-resolution images; video super-resolution; super-resolution reconstruction; demosaicing; point spread function estimation; blind deconvolution; blur kernel estimation; high-resolution image reconstruction; image upscaling; blind image deblurring; frame interpolation; bicubic interpolation; multi-frame super-resolution; color filter array; motion deblurring; low-resolution image reconstruction; color image reconstruction; blind super-resolution; perceptual loss
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Numeric address and provenance
Morton address: 36174792767979615 · morton4x16-v1
Coordinates: (3, 17, 1707, 11105). The address interleaves categorical identifier bits. Nearby addresses are not guaranteed to describe semantically similar subjects.
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