Integrates dynamic codebook frequency statistics into a transformer attention module. Fuses semantic image features with latent representations of quantization ...
NUECES COUNTY, Texas (Nexstar) — More than 100 potential jurors were dismissed out of a Nueces County court during the jury selection process after they said they couldn’t stay neutral in the first ...
Background: This study aims to investigate the application of visual information processing mechanisms in the segmentation of stem cell (SC) images. The cognitive principles underlying visual ...
UD's Signal and Image Processing Lab is designed to support graduate and undergraduate research in the areas of signal and image processing. The lab provides office space for graduate students and has ...
Abstract: Digital image compression reduces the bandwidth, time, and energy needed for transmission of images and signals, as well as memory needed for their storage. However, it cannot solve the ...
Abstract: Vector quantization is a fundamental model for image coding, but large codebooks require a long training and encoding time. This can be sped up with tree-structured codes. We propose the use ...
Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. This laboratory experiment instructs students to evaluate assay ...
This project presents an advanced image compression system designed to enhance the standard JPEG algorithm by introducing a more perceptually-driven approach. The traditional JPEG standard relies on a ...
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