0_Wizard
Are you familiar with Instagram? It's a photo-sharing application that allows people to share pictures and videos.
Instagram is a mobile, desktop, and Internet-based photo-sharing application and service that allows users to share pictures and videos either publicly, or privately to pre-approved followers.
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Instagram
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Instagram
Instagram is a mobile, desktop, and Internet-based photo-sharing application and service that allows users to share pictures and videos either publicly, or privately to pre-approved followers. It was created by Kevin Systrom and Mike Krieger, and launched in October 2010 as a free mobile app exclusively for the iOS operating system. A version for Android devices was released two years later, in April 2012, followed by a feature-limited website interface in November 2012, and apps for Windows 10 Mobile and Windows 10 in April 2016 and October 2016 respectively. It is owned by Facebook. Instagram lets registered users upload photos or videos to the service.
Privacy concerns with social networking services
Since the arrival of early social networking sites in the early 2000s, online social networking platforms have expanded exponentially, with the biggest names in social media in the mid-2010s being Facebook, Instagram, Twitter and SnapChat. The massive influx of personal information that has become available online and stored in the cloud has put user privacy at the forefront of discussion of the databases ability to safely store such personal information. The extent to which users and social media platform administrators can access user profiles has become a new topic of ethical consideration and the legality, awareness and boundaries of subsequent privacy violations are critical concerns in the advance of the technological age.
Social media marketing
Social media marketing is the use of social media platforms and websites to promote a product or service. Although the terms e-marketing and digital marketing are still dominant in academia, social media marketing is becoming more popular for both practitioners and researchers. Most social media platforms have built-in data analytics tools, which enable companies to track the progress, success, and engagement of ad campaigns. Companies address a range of stakeholders through social media marketing, including current and potential customers, current and potential employees, journalists, bloggers, and the general public.
Social media
Social media are computer-mediated technologies that facilitate the creation and sharing of information, ideas, career interests and other forms of expression via virtual communities and networks. The variety of stand-alone and built-in social media services currently available introduces challenges of definition; however, there are some common features:  Users typically access social media services via web-based technologies on desktop, computers, and laptops, or download services that offer social media functionality to their mobile devices (e.g., smartphones and tablet computers). When engaging with these services, users can create highly interactive platforms through which individuals, communities and organizations can share, co-create, discuss, and modify user-generated content or pre-made content posted online.
Image sharing
Image sharing, or photo sharing, is the publishing or transfer of a user's digital photos online. Image sharing websites offer services such as uploading, hosting, managing and sharing of photos (publicly or privately). This function is provided through both websites and applications that facilitate the upload and display of images. The term can also be loosely applied to the use of online photo galleries that are set up and managed by individual users, including photoblogs. Sharing means that other users can view but not necessarily download images, and users can select different copyright options for their images.
Facebook
Facebook is an American online social media and social networking service company based in Menlo Park, California. The Facebook website was launched on February 4, 2004, by Mark Zuckerberg, along with fellow Harvard College students and roommates, Eduardo Saverin, Andrew McCollum, Dustin Moskovitz, and Chris Hughes. The founders had initially limited the website's membership to Harvard students; however, later they expanded it to higher education institutions in the Boston area, the Ivy League schools, and Stanford University. Facebook gradually added support for students at various other universities, and eventually to high school students as well.
Social networking service
A social networking service (also social networking site, SNS or social media) is an online platform that people use to build social networks or social relations with other people who share similar personal or career interests, activities, backgrounds or real-life connections. The variety of stand-alone and built-in social networking services currently available online introduces challenges of definition; however, some common features exist:   Most social-network services are web-based and provide means for users to interact over the Internet, such as by e-mail, by instant messaging and through online forums.
1_Apprentice
Oh yes, I love going on Instagram!
0_Wizard
I like that you can apply digital filters to your images. I think it makes the images look much more professional.
Users can apply various digital filters to their images, and add locations through geotags.
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Instagram
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Digital filter
In signal processing, a digital filter is a system that performs mathematical operations on a sampled, discrete-time signal to reduce or enhance certain aspects of that signal. This is in contrast to the other major type of electronic filter, the analog filter, which is an electronic circuit operating on continuous-time analog signals. A digital filter system usually consists of an analog-to-digital converter to sample the input signal, followed by a microprocessor and some peripheral components such as memory to store data and filter coefficients etc. Finally a digital-to-analog converter to complete the output stage.
Linear filter
Linear filters process time-varying input signals to produce output signals, subject to the constraint of linearity. This results from systems composed solely of components (or digital algorithms) classified as having a linear response. Most filters implemented in analog electronics, in digital signal processing, or in mechanical systems are classified as causal, time invariant, and linear signal processing filters. The general concept of linear filtering is also used in statistics, data analysis, and mechanical engineering among other fields and technologies. This includes non-causal filters and filters in more than one dimension such as those used in image processing; those filters are subject to different constraints leading to different design methods.
2D Filters
Two dimensional filters have seen substantial development effort due to their importance and high applicability across several domains. In the 2-D case the situation is quite different from the 1-D case, because the multi-dimensional polynomials cannot in general be factored. This means that an arbitrary transfer function cannot generally be manipulated into a form required by a particular implementation. The input-output relationship of a 2-D IIR filter obeys a constant-coefficient linear partial difference equation from which the value of an output sample can be computed using the input samples and previously computed output samples.
Photographic filter
In photography and videography, a filter is a camera accessory consisting of an optical filter that can be inserted into the optical path. The filter can be of a square or oblong shape and mounted in a holder accessory, or, more commonly, a glass or plastic disk in a metal or plastic ring frame, which can be screwed into the front of or clipped onto the camera lens. Filters modify the images recorded. Sometimes they are used to make only subtle changes to images; other times the image would simply not be possible without them. In monochrome photography coloured filters affect the relative brightness of different colours; red lipstick may be rendered as anything from almost white to almost black with different filters.
Analogue filter
Analogue filters are a basic building block of signal processing much used in electronics. Amongst their many applications are the separation of an audio signal before application to bass, mid-range and tweeter loudspeakers; the combining and later separation of multiple telephone conversations onto a single channel; the selection of a chosen radio station in a radio receiver and rejection of others. Passive linear electronic analogue filters are those filters which can be described with linear differential equations (linear); they are composed of capacitors, inductors and, sometimes, resistors (passive) and are designed to operate on continuously varying (analogue) signals.
Multidimensional filter design and implementation
Many concepts in one–dimensional signal processing are similar to concepts in multidimensional signal processing. However, many familiar one–dimensional procedures do not readily generalize to the multidimensional case and some important issues associated with multidimensional signals and systems do not appear in the one–dimensional special case. Most of the signals we witness in real life exist in more than one dimension, be they image, video or sound among many others. A multidimensional (M-D) signal can be modeled as a function of formula_1 independent variables, where formula_1 is greater than or equal to 2.
Infinite impulse response
Infinite impulse response (IIR) is a property applying to many linear time-invariant systems. Common examples of linear time-invariant systems are most electronic and digital filters. Systems with this property are known as "IIR systems" or "IIR filters", and are distinguished by having an impulse response which does not become exactly zero past a certain point, but continues indefinitely. This is in contrast to a finite impulse response (FIR) in which the impulse response "h"("t") "does" become exactly zero at times "t" > "T" for some finite "T", thus being of finite duration. In practice, the impulse response, even of IIR systems, usually approaches zero and can be neglected past a certain point.
1_Apprentice
Yeah they have many neat features. I wonder when it was started?