File type: File types can influence the way that images look, although normally you cannot tell the difference unless the images is extremely detailed, although if you would look closely you would see slight blurriness over certain parts. Although you would have to be looking for it to notice it. For example Gif it can be made to be a very small file size so good for web uploads ad the like but it will reduce image quality, which you can see if you look by the tyre in the image on the left. Jepeg is used for high quality images, for things like photo shoots and maybe magazine pictures, although keeping this high quality comes a price, these file sizes are far larger than any of there counterparts.
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Colour depth: Colour depth is the main way you will see a difference in an image, as you can see on the left. The colour depth is the amount of colours that each image has and can show, it also holds the information on, if it supports it, opacity like how much opacity there is and things like that. Having a high colour depth is similar to using a file size like jepeg although it will give you a better image quality it will also increase your file size a lot.
Image resolution: Higher image resolution will produce a high image quality but again at the cost of a larger file size. And vice versa if you wanted to decrease the size of the file you could decrease the resolution but that would of course make the quality of the image a lot worse. But even if an image has a very good resolution if you zoom in far enough it will become pixelated and blurry , although less of depending on the resolution of the image.
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Compression
Compression: Compression is the act of making a file smaller than its original. There are two different types of compression, they are states below: Lossy compression is where your compression algorithm will make your image smaller by cutting chunks of data out so if you compress it to far it will start to loose image quality very quickly after a certain point, up until that point you will not really notice any difference in the image or very small changes. Lossless compression on the other hand does not lose any data in the process of compression. Although the compression rates of lossy are far greater than that of lossless compression which means far smaller file sizes, but you will only get a image not as high in quality as the original where as with lossless none of the image quality will be lost. The way lossy compression works is that it takes chunks of data called “wavelets” and then finds out the coefficient of all of them, the coefficient will obviously be smaller than the original as you can scrap half of the data and save the variable the coefficient binds with to make the final number this is then done for all the data over and over again until desired size is met.
Compression: Compression is the act of making a file smaller than its original. There. are two different types of compression, they are states below: Lossy compression is where your compression algorithm will make. your image smaller by cutting chunks of data out so if you compress it. to far it will start to loose image quality ...
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of feature classes in an image. There exist ... a certain class, a finer partitioning of the region can be ob- ..... Cambridge University Press, New York, NY, 1992.
effective in handling inter-class selectivity in object detec- tion tasks [8, 11, 22]. ... intra-class variations and other distracted regions from clut- ...... learning in computer vision, ECCV, 2004. ... super-vector coding of local image descripto