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Combining the benefits of video training and book learning, Tony Northrup’s Lightroom Video Book, available for Lightroom 5 or Lightroom 6/CC, gives you over 14.![]() Home / Digital Photography Concepts, Lightroom Tutorials / 8 bit, 12 bit, 14 bit, 16 bit — What Does It Really Mean to Digital Photographers? Explore Lynda.com's library of categories, topics, software and learning paths. Site features free Adobe Photoshop tutorials and links to free Photoshop brushes, plugins and resources, a blog with the latest Photoshop news, and tutorials by. What Does It Really Mean to Digital Photographers? You may be photographing in raw rather than jpeg because you know that raw files contain more information and because they are unprocessed, giving you more flexibility. But how do they contain more information? Among other things, digital photography raw files are captured at a higher bit depth — depending on the camera, 1. Whether 1. 2, 1. 4 or 1. So what is bit depth? For each pixel in your image, the tonal value or brightness of the scene you are photographing is stored in the image file on your memory card, along with the color. Computer files store information in zeros and ones. Bit depth refers to how many digits the tonal information for each pixel is stored in. Imagine if your camera used a bit- depth of one: you would have one digit to store how dark each piece of the scene was, the only possible values would be 0 and 1, and the only two tones that could be represented are black and white: Image From File with Bit Depth of One. This image of course has very little detail, since it contains no shades of gray. If the file had a bit depth of two, there would be two digits, and the four values of 0. Image from File with Bit Depth of 2. Notice that we have gained some detail, but that the image is still very choppy. In the histogram for this image, below, we see huge gaps between the tones, confirming the choppiness or posterization. (The histogram is a graph of the tones in an image, going from pure black on the left side to pure white on the right side.)Histogram for File with Bit Depth of 2. Let’s jump to a file with a bit depth of 5, which allows 2 to the 5th, or 3. Image from File with Bit Depth of 5. We gain alot of detail, but there is still obvious posterization in the sky (click on the image to see it larger). The histogram supports this: Histogram for Image with Bit Depth of 5. Now let’s jump to 8, which allows 2 to the 8th, or 2. Image with Bit Depth of 8. Histogram of Image with Bit Depth of 8. This image shows the full detail of the scene with no visible posterization, even when viewed at full size, and the histogram looks much better. (If you see any posterization, it is not real, but rather just the result of my blog save process.) So why not stop here, with 8 bits and 2. The problem is that as soon as you start enhancing your image, you start compressing and expanding the tonal range. This creates choppiness in the histogram and potentially, visible posterization in your image. To show this, I took this 8 bit image into Photoshop, and added contrast and darkened it: Darkened and Added Contrast to 8 Bit Image. Notice how this pulled apart the histogram: Result of Working 8 Bit Image. The more heavy- handed your adjustments, the more and wider gaps you will end up with in your histogram, and the greater possibility that you will see posterization in your image. 2. This is vastly better, and with almost any work you could do to an image, it would hold together. Here is the histogram from the 1. Histogram from 1. Bit Version with Darkening and Contrast Boost. To have this additional “editing headroom”, you have to capture a high bit- depth image, i. It does no good to convert a raw file into 8 bit as you move into Photoshop to work it. While you are working in Lightroom or Camera Raw, your work on your raw file is in 1. When you move a file from Lightroom or ACR to Photoshop, you need to ensure that the Photoshop file stays in 1. In Lightroom, go to Edit or Lightroom> Preferences> External Editing, and set your PSD or TIFF preference to 1. In ACR, click on the workflow options at the bottom of the screen and do the same. Higher bit depth files also potentially have a much larger number of colors: an 8- bit jpeg can represent around 1. Your high- bit- depth photo with billions of potential colors will hold up much better. The downside to higher bit- depth is larger image files — all else equal, a 1. But large memory cards and hard drives are so much cheaper these days than they used to be. Note: I have printed these histograms from Photoshop. Lightroom smooths out the histogram, so you won’t see these gaps — nevertheless, the quality issue issues still exist. April 2. 01. 0 | izkiycom. 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Artwork: The three best- known computer network topologies: line (chain/bus), ring, and star. Permissions and security. Just because a machine. The. Internet is an obvious example. If you're online, you get access to. Web pages, which are simply files stored on other. But you can't access. Internet. you can't read my personal files and I can't read yours, unless we. Permissions and. security are central to the idea of networking: you can access files. Most personal computers that connect to the Internet allow outgoing. Servers (the machines on the Internet that hold and serve up Web. You've probably heard of hacking, which, in one. To make a. network more secure, you can add a firewall (either a physical. Internet to. monitor and prohibit any unauthorized, incoming access attempts. What makes a network? To make a network, you. Linking up the nodes means making some sort of a temporary or. In the last decade or so, wireless. In offices, wired connections are still more. 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Computers are general- purpose machines that mean different things to different people. Some of us just want to do basic tasks like word processing or chatting to friends. Facebook and we couldn't care less how that happens under the covers—or even. At the opposite end of the spectrum, some of us like modifying our computers to run faster, fitting quicker processors or more memory, or whatever it might be; for geeks, poking around inside computers is an end in itself. Somewhere in between these extremes, there are moderately tech- savvy people who use computers to. Because computers mean different things to different people, it can help us to understand them by thinking of a stack of layers: hardware at the bottom, the operating system somewhere on top of that, then applications running at the highest level. You can "engage" with a computer at any of these levels without necessarily thinking about any of the other layers. Nevertheless, each layer is made possible by things happening at lower. Things that happen at the higher levels could be carried out in. Firefox (an application) on many different operating systems, and you can run various operating systems on a particular laptop, even though the hardware doesn't change at all. Photo: Computer architecture: We can think of computers in layers, from the hardware and the BIOS at the moment to the operating system and applications at the top. We can think of computer networks in a similar way. Computer networks are similar: we all have different ideas about them and care more or less. If you work in a small office with your computer hooked up to. But if you're charged with setting up the network in the first place, you have to consider things like how it's physically linked together, what sort of cables you're using and how long they can be, what the MAC addresses are, and all kinds of other nitty gritty. 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Network: This layer is concerned with how data is addressed and routed from one device to another. Transport: This manages the way in which data is efficiently and reliably moved back and forth across the network, ensuring all the bits of a given message are correctly delivered. Session: This controls how different devices on the network establish temporary "conversations" (sessions) so they can exchange information. Presentation: This effectively translates data produced by user- friendly applications into computer- friendly formats that are sent over the network. For example, it can include things like compression (to reduce the number of bits and bytes that need transmitting), encryption (to keep data secure), or converting data between different character sets (so you can read emoticons ("smileys") or emojis in your emails). Application: The top level of the model and the one closest to the user. This covers things like email programs, which use the network in a way that's meaningful to human users and the things they're trying to achieve. OSI was conceived as a way of making all kinds of different computers and networks talk to one another, which was a major problem back in the 1. The TCP/IP (DARPA) model. If you've never heard of the OSI model, that's quite probably because a different way of hooking up the world's computers triumphed over it, delivering the amazing computer network you're using right now: the Internet. The Internet is based on a two- part networking system called TCP/IP in which computers hook up over networks (using what's called TCP, Transmission Control Protocol) to exchange information in packets (using the Internet Protocol, IP). 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And what would be the best steps to create just the one data partition using all available unallocated space? Server- Drives. jpg. Other HP Care Pack Services available. SPECIFICATIONS Operating system Pre-installed (availability varies by region): Windows 8 Pro (64-bit)*. InformationWeek.com: News, analysis and research for business technology professionals, plus peer-to-peer knowledge sharing. Engage with our community. ![]() Flash tools and utilitys, Flash Development, Flash Movies, Create Screensavers, Convert SWF to PDFYes more improvements to JStart. New Features in 2. Release. Supports Adobe Flash CS3. Some of you maybe having problems using CS3 Projector files with JStart, version 2. Instant Flash Banner Maker | HTML5 Banners. Create professional- looking, lightweight Flash banners in a few clicks. How it works: 1. Create flash banner using Instant or Pro banner maker. Download flash banner file (check out the demo). 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However, SVM training is notably a computationally intensive process especially when the training dataset is large. This paper presents RASMO, a resource aware Map. Reduce based parallel SVM algorithm for large scale image classifications which partitions the training data set into smaller subsets and optimizes SVM training in parallel using a cluster of computers. A genetic algorithm based load balancing scheme is designed to optimize the performance of RASMO in heterogeneous computing environments. RASMO is evaluated in both experimental and simulation environments. The results show that the parallel SVM algorithm reduces the training time significantly compared with the sequential SMO algorithm while maintaining a high level of accuracy in classifications. Our main objectives in this chapter are to understand text similarity and clustering. Before moving on to the actual techniques and algorithms, this section will.
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