Wikipedia – “Data Compression.” Lossless: Compressed data that is error free. Lossy: Some fidelity or quality is lost in the compression. What I don’t get or is not explained in this article is why you would ever want lossy over lossless. Is lossless a lot bigger?
“Data Compression Basics.”
- The examples really help clarify wikipedia’s poor ‘e’ versus ‘z’ example.
- If tiff files, which are huge, use LZ algorithms then they are somewhat compressed. How large would an image be with no compression at all? And would creating such an image possess any advantages if size was not an issue?
- The smooth and jiggled grayscale comparisons are a great example of ‘rounding’ in lossy compression.
- Lossy is not loss of quality, but loss of data.
Ed Galloway, “Imaging Pittsburgh”
- Several helpful pieces of advice in working with multiple partners with different agenda on one project
- Coming to terms with consistent subject headings; figuring out a way to cope with an array of metadata styles and still look consistent; and then there is the copyright. The solution to copyright seemed a little weak.
- Did image reproduction make any money? I have heard that it rarely does, but perhaps they have an insight into it that I do not?
- I like the idea that by offering various collections from different types of institutions that you begin to create context through the images themselves.
Paula Webb, “YouTube and Libraries.”
- Wow, someone sure is enthusiastic. Are there no disadvantages to using YouTube? Do you sacrifice any rights to the materials posted as with Facebook, or other social media sites?
No comments:
Post a Comment