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When using a raster program you paint an image and it's similar to dipping a brush in paint and painting. A lot of images can be made with either raster or vector program and look exactly the same on both programs. Some vector programs do have the ability to create color gradients within one single shape, but these are actually raster effects. Photographs are raster images and are probably the best example of images completely made of color blends - or shade blends in the case of black and white photographs - and those images look very different when drawn in vector format.
Vector images are mathematical calculations from one point to another that form lines and shapes. When you enlarge a vector graphic, the math formulas stay the same, rendering the same visual graphic no matter the size. Vector programs display the image as we would normally see it and they also allows us to view the vector outline or wire-frame of each object.
For categorizing purposes I have named the above: photo-realistic vector, vector illustration, and vector lineart. Vector graphics are commonly used for logos, illustrations, technical drawings and for use with processes that require vector art such as specialty signs and printing, engraving and etching. Pixel-based images represent and edit photographs and photo-like images better than vector programs because they can use an abundant number of different color pixels. If a printer requires a minimum of 300 ppi and you want to print an image in an area that is 5 inches wide, multiply 300 pixels x 5 inches = 1500. Once the image is created at a certain dimension, you may not be able to use this image at a larger size without losing quality. Today I simply copied over the higher res icons from my iOS 7 app and used them for my android app. So, for the xxhdpi qualifier, you will need to create an icon of the size 144*144px for your launcher icon. As for the icon size 144*144px, create either of these two folder drawable-xxhdpi or the drawable-480dpi and place just your launcher icon of the said size in it.
Not the answer you're looking for?Browse other questions tagged android drawable dpi android-icons or ask your own question. The Raster (Bitmap) image becomes blurry when enlarged, however the Vector image keeps the same resolution regardless of enlarging the size. There are two types of images in the digital world - Raster (also called Bitmap) and Vector. Raster (Bitmap) images - generally refer to photographs, pictures - with great color detail, but can’t enlarge without becoming blurry. Vector images - generally refer to illustrations, drawings - with ability to enlarge without losing quality. All PPT diagrams we developed are vector graphics and can be scaled to any size without loss of resolution.
This is a comparison using several graphic formats to show the effects of image compression algorithms based on image file sizes. Here is an example of the output from all of the image formats on a single graphic image to show what to expect.
When we zoom in on the graphic, we can really see how much color data we lose when down-grading to 8 bit color.
The image is identical to the GIF compression, however, the PNG image requires half of the space thanks to PNGs stronger compression algorithm.
However, when we zoom in on the center, you'll notice that the image looks slightly different than the original on the right.
While the 90% compression may have a very small file size, its terrible appearance doesn't make it worth it. Notice that the uncompressed picture has the same file size as the uncompressed graphic above. Just as before, our lossless compressed image has a smaller file size than our uncompressed image.
When you drop from 16.7 million possible colors to 256 possible colors you allow for smaller file sizes, but you again lose color quality. You can see some minor fading in the color on the zoom, but it's worth it for such a small file size. The zoom has become a lot more blurry now, but surprisingly, the full size image still looks great. All the data that told us what the fine details of the snake picture was supposed to look like has been lost forever in the JPEG compression, and saving it back into PNG won't get it back. It is always important, when you're working with lossy compression algorithms, to keep an original copy around.
This image is the over-compressed JPEG saved back to only 10% compression, but the image still looks awful. Lossy compression like JPEG loses quality every time you save the image, even if nothing on the image changes, even if you use the exact same percentage of compression. Notice as well how the colors no longer contrast as much; the dark blues aren't as dark and the vibrant yellows are faded. This is why it's important to use a lossless or uncompressed format for the entire time you're editing a graphic.


2.) The lossy compression of JPEG works best on photographs where you won't notice the loss of data as much.
4.) Uncompressed formats like BMP should not be used on the Web because lossless formats are smaller and look identical.
It's important to note that lossless and lossy compression works the same for all data, not just pictures. Graphic Design Stack Exchange is a question and answer site for Graphic Design professionals, students, and enthusiasts.
This question came from our discussion, support, and feature requests site for Graphic Design professionals, students, and enthusiasts. That is a 256 pixel square tile increased in size to 6,400 pixels square, with apparently no loss in image quality. Vector images still need to be rasterized or rendered for you to see them on your screen, which means any vector image you see has at that point been turned in to a pixel based image. There is one resampling method that does not blur the image, it simply gives you bigger pixels, that is resampling at an exact proportion 2x, 3x using nearest neighbour.
Not the answer you're looking for?Browse other questions tagged vector pixel bitmap or ask your own question.
In a business where staff churn is costly, should I let employees lead and request their salary increase? Did Hillary Clinton refuse to designate Boko Haram a terrorist organisation when the FBI, CIA and the Justice Department asked? If time travel is possible in the future, no matter how distant, why haven't they come back to tell us? Raster images are more common in general such as jpg, gif, png, and are widely used on the web. Images with a subtle gradation of one color to another are the images that will look most different since vector programs need to create a separate shape for each shade of color. A vector graphic with gradients contains both vector and raster elements and won't be suitable for process that requires 100% vector or true vector art.
When you enlarge the image file without changing the number of pixels, the image will look blurry. The vector shapes - also called objects - can be scaled and printed at any size without losing quality. Photo-realistic vector: A photograph was vectorized using an automated tool and a multitude of colors to allow the image to have a closer resemblance to the original.
By arranging pixels and slowly incrementing or changing the color or shade of the pixels adjacent to them, it creates a subtle gradation from one color to another: nice and smooth color blends. Because raster images cannot be enlarged without losing quality, printers require that you provide them with files at the correct size: 1 the dimension you want to print your image at, and 2. When you manually increase the resolution with a program like Photoshop, Photoshop randomly adds pixels and the result will most likely be a high resolution image of poor quality. The DPI is set by the actual printer device and it is not something in the image for the graphic designer to manipulate.
Instead of 36px I used a 40px icon, for 48px I used 58px, for 72px I used 76px and for 96px I used 120px icon. However, if you are concerned about loosing quality with regards to your in-app drawable resource, consider using 9-patch images wherever possible.
By the way, can I copy my old icons from the xhdpi to the xxhdpi and ensure that there isn't any lost. That being said, I think it would be prudent to create just the launcher icon for xxhdpi and let the OS handle the in-app graphics.
But a tooltip, on move hover, on the word XXHDPI shows Extra-extra!-high density(480 dpi) in the Metrics and Grids documentation. Every shape is composed of thousands of pixels which is why we cannot see individual squares while looking at a bitmap image. It looks exactly as the image is supposed to, but takes up the most space on your hard drive. PNG images are compressed with a lossless algorithm, just like how a ZIP file can compress a document. This means that they look the exact same as the uncompressed bitmap, but use a fraction of the size.
This image is only at 10% compression, and already it takes up less space than the 24 bit color PNG image. While the image looks the same, PNG just compresses a little better so the file takes up less space on your hard drive. JEPG compression doesn't work well on high contrast areas, but since most photographs don't have high contrast areas, you don't need to worry about it. You can now notice the degradation effects on the words on the books, but you can still read them. Once you save an image using a lossy compression algorithm, like JPEG, you can never get it back to the higher quality appearance. It has a file size of 162 KB, which is pretty big, but it's still smaller than what it would be is it were uncompressed.
You can open the image up, and save it back into a lossless compression format, but the result will look like the image below.


This is because lossless compression is very good at storing data when there is a lot of similar area. Every time you save a file using lossy compression you lose more and more data as these examples will demonstrate. As you can see, the artifacting has compounded over each save becoming more obvious with the fuzzier edges. Music has uncompressed formats like WAV, lossy formats like MP3, and lossless formats like FLAC. All of the rules above can be applied to audio and video formats because they all use similar forms of compression. Could you then resize that image (or the collection of vector square "pixels") proportionally and infinitely, essentially creating a vector-bitmap image? That is what pixel images are anyway, a map of discrete colored squares, exactly the same as if you converted each pixel to a vector square. As long as you increase the size of the image in integer multiples, you get no apparent loss in quality. The problem with this is that the sharpness is just enlarged pixels, which is generally what people don't want.
I get that the physical pixels in a screen require anything it shows to be rendered into pixels, but I guess why couldn't the same concept as your example be applied to any image? With our current screen pixel densities, does it have to be enlarged in exact multiples to still retain sharpness?
Those algorithms aren't hypothetical they are the exact reason you get that blurriness when you enlarge images. When you enlarge the file by adding more pixels, the pixels are added randomly throughout the image, rarely producing good results.
It can be printed as large and at the highest resolution the printer or the output device allows. It is also important to some of these processes that the vector outlines are not overly complex.
When an illustration (drawing) program sizes a vector image up or down, it simply multiplies the mathematical description of the object by a scaling factor. This is why it's best to use lossless compression, especially the PNG format, for computer graphics like screen shots and clip art. Could our screens (or some hypothetical algorithm) average the colors to be displayed between the enlarged image pixels?
There is absolutely no difference between the current reality of image manipulation and your idea. You can retain the sharpness as you said, but that is the sharpness of the pixels which is what people don't generally want.
That happens when the user (or software) uses a resampling method that simply tries to guess the information that is not there, so the result can be blurry. Also used in CAD, engineering, and 3D graphics which we do not provide information nor services for. Color blends can be created in vector programs but they are actually raster effects so this image is NOT 100% vector. The pixel resolution is the amount of pixels within each inch called ppi (pixels per inch). The Android OS all by itself, does a remarkable job handling various screen sizes most of the time anyway.
For example a 1″ square object would need to be multiplied by a factor of 2 in order to double in size.
This gets around the pixelation problem, but the result is a distortion that most of the time looks worse. This vector image can be used in different processes like CMYK or digital printing, but it is too complex for this to work for the processes that are guided by the vector outline such as engraving, specialty signs and specialty printing.
When you attempt to increase the size of an image created in a raster based program, the pixels defining the image can be increased in either number or size. There are better algorithms and methods for enlarging images but that is a whole other subject!
For example: a 256x256px image on the web is made responsive via CSS and enlarged to 6,400x6,400px. Increasing the number of pixels or making the pixels bigger in an image results in the original data being spread over a larger area. There are other ways to achieve color blends, please see vectorization of images with color blends. Spreading the pixels over a larger area causes the image to begin to lose detail and clarity.
Generally Raster images are created through the process of scanning source artwork or "painting" with a photo editing or paint program such as Corel PhotoPAINT or Adobe PhotoShop.




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