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3 Simple Ways to Improve Low Resolution Images (and Typography) – {dialog-heading} Click here to ENTER
                                                                                                        Navigate to Image > Image Size. Where it says “Resample Image” you can change the type of anti-aliasing used to enlarge and smooth the image. Higher resolutions mean that there more pixels per inch (PPI), resulting in more pixel information and creating a high-quality, crisp image.      

– What is Resolution? – All About Images – Research Guides at University of Michigan Library


Some professional, high-end printers may require images to be up to ppi for printing. Non-professional printers such as inkjet, laser, and other common printers can best print images that are at least to ppi and higher. For images that just need to “look good”, ppi will work.

Photographic prints are recommended to be at least ppi. Images for large format poster printing can be around ppi depending on how close the image will be viewed. Screen images are different than images for printing because we must think about the pixel dimensions of monitors, TVs, projectors, or display, rather than PPI.

Use PPI for printed images, but use pixel dimensions of the image are what really determine the size of the image and quality of how it will display on the web or devices. The idea has been for many years that images should be saved with a resolution of 72 PPI. Each monitor is different and has a different resolution, so it makes it difficult to design a website that contains images that will display perfectly on every type of display. Over the years, technology has improved and so has the quality of our displays.

Most popular are Apple’s new retina displays that are on the most recent Macbooks, iPhones, and iPads. If you’re a web developer, check out some ways people are designing for retina or high pixel density displays. Just like web images, images for projectors should match the pixel dimensions of the projector.

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Let’s process image data. We only consider the luminance channel in the YUV color space because humans are more sensitive to luminance change. For the target data high-resolution images , we just crop the image and retrieve the y channel. Compared to the paper, we add one more layer and we use the relu activation function instead of tanh. Improve this answer. Thanks for replying.

I will try that soon. In the meanwhile I used a tool called SmillaEnlarger to do this. This is available on sourceforge. Here for those interested. Sign up or log in Sign up using Google.

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