Sentence examples for image tuning from inspiring English sources

The phrase "image tuning" is correct and usable in written English
It can be used in contexts related to adjusting or optimizing images, such as in photography, graphic design, or digital media. Example: "After applying some image tuning, the colors in the photograph appeared much more vibrant and true to life."

Exact(1)

I find the Nex's A.I. image tuning to be more pleasing and less aggressive than Huawei's.

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The plant microtubules tend to form unique patterns in the artificial cell under synchrony, as seen here in the AFM images tuned by ac noise.

Since this free parameter corresponds to a physical quantity, its estimation is relatively easy and does not require extensive image-dependent tuning.

We describe the control loop scheme and show how it provides a calibration method based on fast image simulations tuned to reproduce the statistical properties of a specific cosmic shear data set.

To perform a fair comparison between MEME and the thresholding framework, both methods are initially provided with a single image to tune their respective parameters.

There are, of course, worse things than a generation addicted to information, images, tunes, and ideas.

The wenome comprises the rules, customs, rituals, manners, images, tunes, songs, languages, laws, constitutions, and institutions that define the culture by which our genome and menome are conditioned.

In collaboration with Charles Frye, I am currently studying how the distribution of solutions on the training landscape (as a function of height on the landscape) of a deep network learning to classify images changes as the statistics of the training images are tuned in well-defined ways.

Since the image data set was used strictly for algorithm validation, we obtained a separate set of images to tune the algorithm.

Reference images were tuned based on consumer preference expectations.

Furthermore, we propose a detect-before-track approach that employs two innovating methods: hybrid segmentation using both intensity and depth images, and tuned 3D multi-target tracking based on the Kalman filter and Global Nearest Neighbor.

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