Hd Quality Pixels

[Noah Casanova]

Imagesthey are the currency of Intergoogles. A website that doesn't make use of any kind of imagery, whether that's photography, illustration, or diagrams, is a very rare thing indeed. If you were to stumble upon one, you might well think it a remnant from 1999. Buffer, the team that allows you to stack up your social media posts for timed release, analysed the power of images on Twitter. It concluded that tweets containing images receive 18% more clicks than those without, and a few other tasty image-related nuggets besides.

Given that we're a photography-related site, running a story without at least one image is almost unthinkable for us. It's most certainly a peeve of mine when PR people send me press releases without any accompanying appropriate imagery. No image means no story, and having to chase them is a bit of a bore.

But heavens-above, joining the billions of images floating about on this interconnected web of servers and wires and fibre and routers is a great deal of confusion regarding just how big a photo needs to be.

Let's clear up one misconception immediately: it doesn't matter how many blinking pixels per inch (ppi) or dots per inch (dpi) your image has if it is going to be displayed on the web. If an image is intended for print, that is a whole different ball game, but on a computer screen you can use 72, 240, or 300 pixels per inch. It won't make a shred of difference. Not sure if you believe me? I have some examples.

Should you be concerned about anyone downloading your images and printing them, then you might wish to use a smaller pixels per inch count. But when it comes to screen rendering, you don't have to worry.

Photocritic uses a clever, responsive platform which automatically resizes images to comfortably fit within the margins of a device, but even then, it cannot handle images in excess of 1,500 pixels wide.

Ah, yes, retina displays. The retina display is a term coined by Apple to describe one of its screens that enjoys a far higher pixel density than a regular screen, achieved by ramming many more, smaller sized pixels into a display. (There are 2560 by 1600 pixels in a 13" MacBook Retina.) This increased pixel density allows for images to be rendered sharper and clearer, assuming that there are sufficient pixels in the image to fill them, of course. With a retina display you're looking at double the number of pixels when compared to a non-retina display screen of the same size.

So the next, and most obvious question is, 'What the hell will a photo that's 800 pixels wide look like on a retina display? It's going to be either tiny, or some ghastly interpolation will happen that makes it appear the correct size, but awfully grainy, no?' Not quite. Thankfully.

The pixels in the retina display are sufficiently small that you can share one of the 800 pixels from an image across two of them and the image won't look horrific. So that's what happens. An 800 by 533 pixel image will occupy 1,600 by 1,066 'retina pixels' and not look that much the worse for it.

What are the chances that you've been saving your images at 100% quality for web display? I'll go for high, but I'd like to be proved wrong. What are the chances that you really need to be displaying images at the highest quality on the web? I'll guess low this time. What's the difference in file size between an 800 pixel-wide image saved at 100% quality, 80% quality, and 50% quality? That would be 429KB against 239 KB against 136 KB respectively.

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Metasurfaces precisely control the amplitude, polarization and phase of light, with applications spanning imaging, sensing, modulation and computing. Three crucial performance metrics of metasurfaces and their constituent resonators are the quality factor (Q factor), mode volume (Vm) and ability to control far-field radiation. Often, resonators face a trade-off between these parameters: a reduction in Vm leads to an equivalent reduction in Q, albeit with more control over radiation. Here we demonstrate that this perceived compromise is not inevitable: high quality factor, subwavelength Vm and controlled dipole-like radiation can be achieved simultaneously. We design high quality factor, very-large-scale-integrated silicon nanoantenna pixels (VINPix) that combine guided mode resonance waveguides with photonic crystal cavities. With optimized nanoantennas, we achieve Q factors exceeding 1,500 with Vm less than 0.1 \((\lambda /n_\rmair)^3\). Each nanoantenna is individually addressable by free-space light and exhibits dipole-like scattering to the far-field. Resonator densities exceeding a million nanoantennas per cm2 can be achieved. As a proof-of-concept application, we show spectrometer-free, spatially localized, refractive-index sensing, and fabrication of an 8 mm 8 mm VINPix array. Our platform provides a foundation for compact, densely multiplexed devices such as spatial light modulators, computational spectrometers and in situ environmental sensors.

The data that support the plots and other findings in the work are available in the article and the supplementary information file, and are available from the corresponding authors on reasonable request.

The authors thank D. McCoy, F. Pan, B. Bourgeois and A. Dai for insightful discussions. The authors acknowledge funding from a NSF Waterman Award (grant number 1933624), which supported the salary of J.A.D.; the MURI (grant number N00014-23-1-2567), which supported the chip design, fabrication and salary of V.D. and S.D.; and the US Department of Energy, Office of Basic Energy Sciences (DE-SC0021984), which supported the chip characterization and salary of S.A. and H.C.D. V.D. was additionally supported by the Office of the Vice Provost for Graduate Education at Stanford through the Stanford Graduate Fellowship in Science and Engineering. H.B.B. acknowledges support from the NSF OCE-PRF (grant number: 2205990), the HHMI Hanna H. Gray Fellowship and the Stanford Sustainability Accelerator. S.D. was additionally supported by the Department of Defense (DOD) through the National Defense Science and Engineering (NDSEG) Fellowship Program. Part of this work was performed in part in the nano@Stanford labs, which are supported by the National Science Foundation as part of the National Nanotechnology Coordinated Infrastructure under award ECCS-2026822. Part of this work was performed at the Stanford Nano Shared Facilities (SNSF), supported by the National Science Foundation under award ECCS-2026822.

V.D., J.H., M.L. and J.A.D. conceived and designed the experiments. V.D. conducted the theory and numerical simulations. V.D., S.D., S.A., H.C.D. and P.M. fabricated the nanostructured samples. V.D., H.B.B. and S.D. performed the optical characterization experiments. V.D. and K.C. analysed the collected experimental data. A.S., F.S. and V.D. conducted the scanning electron microscopic characterizations. J.A.D. conceived the idea and supervised the project, along with M.L., J.H. and H.B.B. on relevant portions of the research. All authors contributed to the preparation of the manuscript.

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

I noticed that Android (tested 2.3 emulator and Galaxy S device) reduces the quality of loaded images if the image dimensions exceed certain threshold (width above 1400 px or so). This make it impossible to load big bitmap images (2000 x 2000 px) without the quality going unusable.

Slicing the big image to 100 x 100 slices and drawing them to a canvas - this is the only method I found resulting no quality reduction. However, slicing is cumbersome, adds extra step to preprocess images and page loading times suffers

Viewport tag seems to have no effect to the image loading - the data is already garbage when you try to touch the loaded pixel data. I tried all possible values suggested in Android's SDK documentation

Meanwhile, if you are considering developing HTML5 web apps and you might use big images, you simply need to preprocess them on the server-side by slicing, send in smaller images to the device and then reconstuct the original image using or putting many tags inside a container element.

I'd like to think that the original picture as a whole can fit into a common frame size without worrying about adding / removing content from the original picture or adding a border. Meaning, the original shot and everything considered in the field of view when the picture was taken will be included in my print once it is framed at it's best possible quality. By best quality, I mean printing at 300 dpi since it is known as the best quality for viewing at an arms length distance (at least this is how I understand it after reading articles online).

However, printing at 300 dpi will result in a print of 14.293 X 9.493 inches. I certainly won't find a frame this precise. In order for my photo to fit at this quality into a common frame size that I can find at a store, it seems like I have no choice but to either use matting, adding a border via photo editing software, or crop the picture - all things that I'd like to avoid. It doesn't seem right that I'd have to get a custom frame for an untouched 300 dpi print of any of my photos.

The native aspect-ratio of nearly every DSLR is the same. This is actually 3:2 and is available in sizes from 4" x 6" to 24" x 36" quite commonly. There is usually a few extra pixels in one dimension but this is essentially negligible. Whether you lose those pixels while printing is slight distort them would not be much visible in a final print as it would account for a 0.3% change.

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