D2: Discuss the Impact That File Format, Compression Techniques Image Resolution and Colour Depth Have on File Size and Image Quality.

| Zip or compress one or more files in an attempt to shrink the file size

The way films are being made has significantly affected the way films are consumed with the introduction of full colour viewing to the increase in resolution and frame rate of film as a result of digitalisation of film in the early 2000’s.

The use of data in today’s commercials is a vital role that cannot be overlooked. That is there is a need to backup data on physical mediums. The main mediums are hard-drive, flash drive, optical disc, and tape drive. There is multiply different version of each main type of medium. These different physical mediums store data in different ways. Fragmentation can also be an issue for some of these physical mediums. I will cover each medium in a little depth because of the different types available in today’s market.

Encryption of data stored on media is used to protect the data from unauthorized access should the media ever be stolen.

To introduce color composites, histograms, and scatterplots as tools for exploring image data stored in database channels

Q. 4 Identify and explain the three factors that influence the quality of digital video

Chapter 7 discusses compression algorithms. Compressions are used often and sometimes we may not even be aware of it. The items we download or upload may be compressed in order to save bandwidth. Chapter 8 discusses the fundamental algorithms underlying databases (MacCormick, 7). This chapter emphasizes the techniques used to achieve consistency and to ensure that databases never contradict each other. Chapter 9 discusses the ability to ‘sign’ an electronic document digitally (MacCormick, 7). Chapter 10 discusses algorithms that would be considered great if it existed.

I will then compare the limitations of different software packages used in graphics work. (M1)

Table I displays six solid binary images along with their corresponding compression ratios. On considering Run-Length coding, the alternative encoding scheme produces better performance than the other encoding scheme. On an average, the proposed algorithm performs well on comparison with the standard Huffman coding algorithm by approximately 1.58%.

The different formats used to store information will have varying file sizes. This is because some files

The system can read not only JPEG (JPG), but others. But this will make the image large

Goal of coding theory is different to data hiding method even though both methods use the error correction codes [23]. In coding theory, syndrome equation in the first stage of decoder block is used to detect and correct error which is not expected in advance at the encoder block, whereas in data hiding, syndrome is used to choose proper coefficients to insert a watermark signal and decrease distortion. In the embedding process, by choosing proper e(x), some of the host image bits are modified intentionally.

Owing to its advantages, there are many disadvantages too, such as it is expensive, not suited to large capacities due to cost restrictions. It is also prone to failure and there is no guarantee that striping is completely accurate. Thus, a severe data loss can occur.

More bits indicates the system can address a bigger amount of location in the installed physical memory.

Optimizing the weight and size of the image. A common mistake I see in some blogs is to insert an image of a size greater than it actually is shown, that we have to avoid and reduce the image to the exact size and then compress the weight to the picture as quickly as possible to load.