Survol d'Adobe Photoshop Lightroom 1.0 Fig 1 Vue générale (mode Loupe) Introduction Tout d’abord, je tenais à remercier François et toute l’équipe Cuk.ch d’avoir bien voulu m’accueillir. Après un peu plus d’un an sous forme de Beta publique, Adobe Photoshop Lightroom 1,0 est officiellement disponible depuis le 19 février 2007, en anglais, les versions localisées en français et en allemand étant disponibles depuis le 27. Aujourd’hui, Adobe devrait sortir l’utilitaire de conversion des réglages de Rawshooter vers Lightroom. Note pour les anciens utilisateurs de Rawshooter ( PC seulement ) : Adobe recommande de transférer vos fichiers convertis dans Lightroom, mais en mode de référencement à l’emplacement d’origine. Note pour les lecteurs : sauf indication contraire, les illustrations de cet article sont toujours placées au-dessus du texte concerné. Fig 2 Vue générale (mode Ensemble) Un peu d’histoire La philosophie de Lightroom Architecture
AS3 Scrolling List for Android and iOS devices I created a very simple AS3 list that works with the both Android and iOS devices. The project files include a Flash Professional project created with Flash Builder 4. You will need Adobe AIR for Android or the packager for iPhone to create naive create native iOS (iPhone, iPad) or Android. If you only want to build for Android, then I recommend you check out Adobe Flash Builder Burrito and the Flex Hero SDK (or SDK 4.5). The list I created is an AS3 list that works for multiple devices, touch scrolls, and uses custom item renderers that detect user interaction. AS Scrolling List (click to view) The list is suited best for smaller sets of data because the list does not recycle list items. TouchList The TouchList class creates the list, adds items and handles touch events dispatched by the item renderers. TouchListItemRenderer TouchListItemRenderer implements ITouchListItemRenderer and renders the display of the items in the list data. ITouchListItemRenderer ListItemEvent Installation -Mister
Deblurring Images Using the Wiener Filter Deblurring Images Using the Wiener Filter Wiener deconvolution can be used effectively when the frequency characteristics of the image and additive noise are known, to at least some degree. Overview of Example The example includes these steps: Step 1: Read in Images The example reads in an RGB image and crops it to be 256-by-256-by-3. I = imread('peppers.png'); I = I(10+[1:256],222+[1:256],:); figure;imshow(I);title('Original Image'); Step 2: Simulate a Motion Blur Simulate a a real-life image that could be blurred e.g., by camera motion. LEN = 31; THETA = 11; PSF = fspecial('motion',LEN,THETA); Blurred = imfilter(I,PSF,'circular','conv'); figure; imshow(Blurred); title('Blurred'); Step 3: Restore the Blurred Image To illustrate the importance of knowing the true PSF in deblurring, this example performs three restorations. wnr1 = deconvwnr(Blurred,PSF); figure;imshow(wnr1); title('Restored, True PSF'); Step 4: Simulate Additive Noise Step 5: Restore the Blurred and Noisy Image
How to Create a REST Protocol Published on XML.com this if you're having trouble printing code examples How to Create a REST ProtocolBy Joe Gregorio December 01, 2004 Note: In this inaugural article of Joe Gregorio's new column, The Restful Web, he explains how to use the REST architectural style to create an application protocol with web-like properties. Future columns will offer additional REST-based applications and analyses. — Editor If you follow web services, then you may have heard of REST. REST is an architectural style that can be used to guide the construction of web services. Recently, there have been attempts to create such services that have met with mixed success. What Is REST? What is REST anyway? A software architecture is defined by a configuration of architectural elements--components, connectors, and data--constrained in their relationships in order to achieve a desired set of architectural properties. Why Follow REST? What are the URIs? Review
InfoGraphic Designs: Overview, Examples and Best Practices | Sho Information graphics or infographics are visual representations of information, data or knowledge. These graphics are used where complex information needs to be explained quickly and clearly, such as in signs, maps, journalism, technical writing, and education. They are also used extensively as tools by computer scientists, mathematicians, and statisticians to ease the process of developing and communicating conceptual information. They can present a rich amount of information without intimidating you. You may be interested in the following related articles as well. Feel free to join us and you are always welcome to share your thoughts that our readers may find helpful. Don’t forget to and follow us on Twitter — for recent updates. What is InfoGraphics? Infographics are traditionally viewed as visual elements such as signs, charts, maps, or diagrams that aid comprehension of a given text-based content. Little History of InfoGraphics! Why Using InfoGraphics? Elements of Information Graphics
Adobe Photoshop Lightroom Learning Center | Photoshop User - NAP bustardcelly/as3flobile-android - GitHub Mathematical Operations Mathematical transformations of images may be as simple as image arithmetic or as complex as an iterating Fourier transform. You can handle most image arithmetic by executing IGOR commands. For example, to subtract a background image: Duplicate noisyImage,outputImage outputImage=inputImage-backgroundImage When working with images that are 8 or 16 bit per pixel you can perform level mapping using outputImage=LUT[inputImage[p][q]] here LUT is a lookup table for the mapping. LUT=p^(1/Gamma) Most arithmetic operations are performed more efficiently using MatrixOP. Fourier Transforms The Fast Fourier Transform (FFT) can be used to decompose a grayscale image into its spatial frequency components or to perform efficient 2D convolutions and correlations (RGB images are usually handled on a channel by channel basis). In the following example we illustrate simple FFT filtering. MatrixOP/o filtered=IFFT(filter*FFT(inputImage,2),3) Create the Gaussian blur filter The Wiener filter has the form:
RDFAlchemy – Openvest The goal of RDF Alchemy is to allow anyone who uses python to have a object type API access to an RDF Triplestore. The same way that: SQLAlchemy is an (Object Relational Mapper) for relational database users RDFAlchemy is an (Object RDF Mapper) for semantic web users. Trunk now includes: Read/Write access for collections and containers Read access to SPARQL endpoints Read/Write access to Sesame2 Cascading delete chained descriptors and predicate range->class mapping Installation ¶ RDFAlchemy is now available at the Cheeseshop : Just type easy_install rdfalchemy If you don't have setuptools installed...well you should so go get it . Code ¶ Browse dev code at and see the current trunk and all history. This is an actively developing project so bugs come an go. svn checkout rdfalchemy User Group ¶ You can now visit rdfalchemy-dev at Google Groups. API Docs ¶ Capabilities ¶ SQLAlchemy interface Create ¶