By Wallace Jackson
Android Studio New Media basics is a brand new media primer protecting ideas significant to multimedia creation for Android together with electronic imagery, electronic audio, electronic video, electronic representation and 3D, utilizing open resource software program applications comparable to GIMP, Audacity, Blender, and Inkscape. those specialist software program programs are used for this publication simply because they're unfastened for advertisement use. The ebook builds at the foundational suggestions of raster, vector, and waveform (audio), and will get extra complex as chapters development, protecting what new media resources are most sensible to be used with Android Studio in addition to key components concerning the facts footprint optimization paintings technique and why new media content material and new media info optimization is so very important.
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Additional info for Android Studio New Media Fundamentals: Content Production of Digital Audio/Video, Illustration and 3D Animation
As I mentioned, some PNG24 images compress quite well; you really just need to run the data through a codec and find out! So if you are using 24-bit images, with no alpha channel data, and the range of color used in the image is limited, then consider using a PNG8 indexed color format, with 256 colors and diffusion dithering, to reduce the data footprint by 300% to 400% with no quality loss. Indexed color imagery looks great on super-fine dot-pitch displays, as the dithering dots are too small to see!
You can still see the potential for creating additional colors, and you will be amazed at the results that the indexed color codec and data formats (PNG8 or GIF) can achieve in compression scenarios involving certain imagery, featuring the right number of colors and subject matter that is optimal for indexed color. Let’s optimize a true color image, such as the one that’s shown in Figure 3-1, and save it using the PNG5 indexed color image format, to show you diffusion dithering. You will take a look at the dithering effect on the driver’s side rear fender on the Audi 3D image, as it contains a gray gradient.
Blending modes are algorithms that specify how the pixels for a layer are blended (mathematically) with the previous layers (underneath that layer). The Android API has a PorterDuff class that allows you to access all of these blending mode algorithms in your Android applications. info CHAPTER 2 ■ DIGITAL IMAGES: CONCEPTS AND TERMINOLOGY These pixel blending algorithms take into account a pixel transparency level; so, between the two image compositing controls, you can achieve virtually any compositing result that you want in Android Studio.