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Audio visual technology report

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Audio visual technology report
Aims of the report
The aim of this report is to research into basic hardware and software principle’s used in audio and visual processing. Information about RGB colour model and how it used on computer displays will be provided, Nyquist theorem, WAV structure which includes header information, logic gates with information about the 7 gates which are used, basic circuits used audio visual systems and how binary is used for audio quality. Research and experimentation will be done into the topics to gain a better understanding.
Representation of images and Bitmap image.
On most computer displays the screen imaged is made up of discrete units known as pixels. The pixels are arranged in ordered for the image to form a 2 dimensional array. Over the years pixels that are displayed on PC monitors have increased immensely. Before 640 x 480 display produces (307,200 pixels). Now monitor resolutions of 1920 x 1080 producing (2,073,600 pixels), 4K 3840 x 2160 producing (8,294,400 pixels) and with more pixels per inch sharper image quality. A bitmap image is a format which is uses bits of 1 and 0 to store data. A bitmap is a digital image created of a lot of dots. When viewed each dot corresponds to an individual pixel on a display and can be assigned a different colour and these dots will represent a rectangular image. The Bitmap format includes a header which gives information about the file size, number of colours used in image and also a list of pixels with the matching colours. A disadvantage of a bitmap image is they are memory intensive, so the higher the resolution the larger the file will be. Most images nowadays on the web are compressed to JPG, GIF and PNG so they download and open on web pages quicker. Another disadvantage of bitmap images are when resizing the image the pixels will become pixelated producing bad quality images which will become blurry.
RGB model and what’s it used for?
RGB model is a common colours used for digital image representation and



References: Solomon, C & Breckon T. (2010). Fundamentals of Digital Image Processing: A Practical Approach with Examples in Matlab. Wiley-Blackwell. P.1.41 Smith, S. (2002) Digital Signal Processing: A Practical Guide for Engineers and Scientists (IDC Technology. 1st edition. Elsevier Science. P.38 [Accessed 12th May 2014] Rumsey, F & McCormick, T. (2009). Sound and Recording, Digital audio principles. 6th edition. Elsevier ltd Pg. 203 Rumsey, F & McCormick, T. (2009). Sound and Recording, Digital audio principles. 6th edition. Elsevier ltd Pg. 232 Hyperphysics 2014. Basic Gates. [Online]. Available from http://hyperphysics.phy-astr.gsu.edu/hbase/electronic/gate.html#c1 [Accessed 8th Oct 2013].

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