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This paper presents a halftone-based watermarking approach for designing image barcodes (i.e., data-embedded halftones).
In other words, neural networks are helpful for designing image alignment systems.
In other words, an affine transformation is considered of great importance in designing image alignment systems.
The numerical results may help to understand image designing, image coding, discovery of photonic crystals and optical sensing technology.
To sum up the findings, this study proposes a conceptual framework to assist users in designing image alignment systems (see Figure 17).
In this paper, we follow a new philosophy in designing image and video quality metrics, which uses structural distortion as an estimate of perceived visual distortion.
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The challenge when designing image-analysis methods is to find (and program into a computer) a sequence of arithmetic operations that reliably does this job for previously unseen input images.
It achieves better performances than conventional learning approaches using ad-hoc designed image features and the standard deep CNN.
Image analysis was performed using custom designed image analysis software (MotionTracking) as previously described (Rink et al., 2005; Collinet et al., 2010).
In order to do this, a series of carefully designed image processing techniques, including fuzzy stretching and edge tracking, are applied to extract regions of interest.
Kare told me about this origin moment: "As soon as I started work, Andy Hertzfeld wrote an icon editor and font editor so I could design images and letterforms using the Mac, not paper," she said.
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