In this series of articles, we will explain broadcasting for IT engineers. Television is an illusion, there are no moving pictures and todays broadcast formats are heavily dependent on decisions engineers made in the 1930’s and 1940’s, and in this article, we look at camera lenses, why, and how we use them.
In this series of articles, we will explain broadcasting for IT engineers. Television is an illusion, there are no moving pictures and todays broadcast formats are heavily dependent on decisions engineers made in the 1930’s and 1940’s, and in this article, we look at the most fundamental element of video – sensors.
Microphones — depending on the owner — either are treated gently or with abuse. This treatment often extends to how the microphone is used. There is a big difference between shouting mindlessly into a dynamic mic in a small club and recording pristine audio in a studio. Here are some tips on how to use microphones to their fullest potential.
In this series of articles, we will explain broadcasting for IT engineers. Television is an illusion, there are no moving pictures and todays broadcast formats are heavily dependent on decisions engineers made in the 1930’s and 1940’s, and in this article, we look at SDI, its development, and its applications in broadcasting.
There have been increasing experiments with bringing sports action to the home in Virtual Reality 3D. Not only does this add an extra dimension to the excitement, but it highlights the battle between the internet and traditional OTA delivery of entertainment.
The camera viewfinder is an essential tool to compose a shot and, in many cases, to focus. Early film cameras used a separate viewfinder, but the invention of the reflex mirror shutter by ARRI in 1937 allowed the operator a parallax-free view through the taking lens. Television cameras developed along a different route, with an electronic viewfinder (EVF) displaying the video output of the camera. Those early EVFs were monochrome CRTs.
Since the beginning of pro audio, connoisseurs of classic microphones have invested in rare, aging instruments that are said to bring a certain magical quality to the sound. Since many of these vintage mics are quite old, they incur an increasingly high level of costly maintenance. Most of the rest of us are priced out of this collector’s domain.
Noise is found in all imaging systems, but it becomes particularly challenging in low light. High ISO can be used to increase brightness, but it also amplifies noise. Post-processing can be applied, but it does not resolve the low signal-to-noise ratio due to low photon counts. Is artificial intelligence the answer to clean low-light images?
