Pixel and Resolution
Resolution is the detail in which a image has; either good or bad quality. in addition, higher resolution means a more detailed image. With resolution you can try and improve a images quality and with Resolution comes different types. Examples of this are
Pixel Resolution - this shows an image in different pixel resolutions e.g. 20 x 20, 5 x 5, 2 x 2.
Spatial Resolution - Refers to the umber of independent Pixel values per unit length. Basically, the measure of how closely lines can be resolved in an image is Spatial Resolution. Sometimes the more Pixels in an image can make a image look of more poorer quality.
Spectral Resolution - Images with color that distinguish light of different spectra. In contrast, multispectral images resolve even finer differences of spectrum or wavelength. Multispectral images have higher spectral resolution than just our ordinary color images.
Temporal Resolution - Filming cameras and even high speed cameras can view events at different times. Usually, the time resolution for movies for example is 24 to 48 frames per sec. However the high speed camera usually resolves at 50 to 300 frames per sec
Radiometric Resolution - This controls how finely a system can represent differences in intensity and this is usually expressed as a number of bits or levels. For example, 8 bits or 256 levels for computer image files.
http://en.wikipedia.org/wiki/Image_resolution
Pixels are a physical point in a raster image - in digital imaging. In comparison, a pixel targets a very small area in a image meaning that very careful adjustments can be made when doing really small and delicate improvements to an image. Here are 2 examples.
LCD pixels are usually in a 2D grid meaning that they are often represented using dots or squares. However, CRT pixels work from their timing mechanisms and sweep rates.
http://en.wikipedia.org/wiki/Pixel
Vector and Raster Images
Raster images usually represent rectangular grids of pixels or points of color. Raster images are. Basically Raster allows you to look closely at a image to analyse it. Raster image is also known a Bitmap and is technically characterized by the width and height of the image in pixels and by the number of bits per pixel. Here is a example of a Raster Image.
Vector's - are based on paths or strokes which lead through locations e.g. locations of an image. These are known as control points. Each of the points also have a confirmed position on the X AND Y axis of the work plan. Each point will tell the user which way the Vector is pointing and the location of a point in the work space. All this defines the direction of the track. Lastly, each track can be assigned to a color a fill or even a shape or thickness. Here is a example of what it does.
http://en.wikipedia.org/wiki/Vector_graphics
http://en.wikipedia.org/wiki/Raster_graphics
File Formats And Uses.
A file format is a standard way that information is encoded for storage in a computer file. File formats can be used in many different ways when it comes to encoding for storage. Examples of this are,
Ogg - is used as a container for different types of multimedia (video or audio)
Tiff - is used for storing images (tagging image file format)
Psd - used for storing Photoshop file format work, images text.
Bmp - known as Bitmap file format is a raster image file format used to store Bitmap digital images. This is capable of storing 2D digital images even when resolution in a image has been hanged. Even when color is modified it still has the capability of storing a image.
Png - known as portable network graphics, is raster graphic file format that supports lossless data compression. This is most common compression file format used to store lossless images from the internet.
Gif - known as graphic interchange format is anouther bitmap image format and can support 8 bits per second; allowing a single image to hold its own pallet up to 256 colors chosen from the 24 bit RGB color space.
Jpg - This is a commonly used method of Lossy compression for digital photography.
Eps - This can be used as a graphics file format; but this one is more or less self contained. Furthermore, postscript documents that hold a image or drawing can now be placed within anouther post script document.
Ai - stands for Adobe Illustrator which is a file format developed by Adobe to create vector based drawings in the EPS or the PDS formats. This is a very common file format used throughout society.
http://en.wikipedia.org/wiki/File_format
http://en.wikipedia.org/wiki/Ogg
http://en.wikipedia.org/wiki/Tagged_Image_File_Format
http://en.wikipedia.org/wiki/PSD
http://en.wikipedia.org/wiki/BMP_file_format
http://en.wikipedia.org/wiki/Portable_Network_Graphics
http://en.wikipedia.org/wiki/Graphics_Interchange_Format
http://en.wikipedia.org/wiki/JPEG
http://en.wikipedia.org/wiki/Encapsulated_PostScript
http://en.wikipedia.org/wiki/Adobe_Illustrator_Artwork
Compression - Lossy and LossLess
Lossy compression is a data encoding method that compresses data by discarding, loosing some of it. However by loosing some of the data, a image for example will change quality to better or worse and visa verse. Furthermore, Lossy compression is mostly used on multimedia data e.g. audio, video and even images.
Low compression 84 % data removed 
Medium compression 92% data removed
High compression 98% data removed Furthermore, LossLess compression is a class of data compression that allows the original data to be perfectly reconstructed from the compressed data. LossLess is mainly used when it is really important to keep the original and the decompressed data identical.
Compression basically means to remove some data of a piece e.g a image.
http://en.wikipedia.org/wiki/Lossy_compression
http://en.wikipedia.org/wiki/Lossless_compression
Image Capture Devices.
A image scanner basically scans images or even handwriting and printed text and converts it to a digital image. A flatbed scanner is an example of this.
A Digital camera has a image sensor that converts an optical image into an electronic image. However, in this generation most Digital cameras now use CCD or CMOS sensors for their images. These do the same task which is capturing light and converting it into electrical signals.
Smart Phones use very advances technology for it camera such as high pixel resolution and ISO speed. Furthermore, it has a really good digital image processing unit and apparently the cameras in smartphones is becoming even more powerful.
Ordinary Tablets also have good camera qualities such as a higher resolution screen. Some even have a HDMI port.
http://en.wikipedia.org/wiki/Image_scanner
http://en.wikipedia.org/wiki/Digital_camera
http://en.wikipedia.org/wiki/Smartphone
Optimizing
Optimizing basically means to select the best quality graphic of a image for the most suitable target location. E.g. Using a JPEG to put a image on a web page would be the best one to use. However,Optimizing includes many different things. Examples of this are:
Target image output - this action takes a piece e.g. a image and removes some data from it so that the file size will decrease. This is more reasonable as size matters and takes up space.
Image bit depth - This refers to how much color information a image can store. So, the higher the bit depth, the more colors the image can hold and visa verse.
Image Resolution - is the detail a image holds. Higher resolution the higher a images quality and visa verse.
Image dimensions - these are the angels, length and width in which a image holds. usually these things are measured in pixels.
Compression - this includes Lossy and LossLess which means that compression discards some data of an image as i mentioned earlier.
http://en.wikipedia.org/wiki/Color_calibration
http://en.wikipedia.org/wiki/Color_depth
Storage And Asset Manager
Storage of an image is what the image holds e.g. the grade of quality and size and an asset manager is when a system monitors and maintains things of value to a group.
File Size - the size of a file depends on how much storage is in it. Therefor file size will increase if more assets are added such as text or more images.
File naming conversions - this makes file naming more ordered and neater. This comes in handy considering its easy to loose file naming.
http://en.wikipedia.org/wiki/Asset_management
http://en.wikipedia.org/wiki/Naming_convention
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