000			02790nam a2200313Ia 4500
001			76031
003			ft6096
005			20251105171256.0
008			190131n 000 0 eng d
040			_erda
041			_aengtag
050			_aQA76.9 A87 2015
082			_a.
100			_aAustria, Elvind Marius Y. and Veraces, Kristopher N.
245		0	_a An enhancement of LZW Algorithm applied in image compression and decompression _a.
264			_a. _b. _cc2015
300			_bUndergraduate Thesis: (BSCS major in Computer Science) - Pamantasan ng Lungsod ng Maynila, 2015.
336			_b. _atext _2rdacontent
337			_30 _b. _aunmediated _2rdamedia
338			_30 _b. _avolume _2rdacarrier
347			_a0
385			_a2
505			_aABSTRACT: One big problem of a photographer or a person than loves photos was to how to store their images without exhausting all its disk space. Data compression is the process of reducing the size and number of bits needed to store and transmit data. This process is used to reduce the size of the file and to reduce the time needed for the transmission of data. Lempel-Ziv-Welch algorithm or also known as the LZW algorithm is a popular general algorithm used in compression and decompression. It is capable of working on almost any type of data. However, the proponents encountered the following problems with regards to the said algorithm. First is that the less the repetitive data for each pixel, the longer the compression time. For the algorithm to solve this problem, the algorithm must read 16 bits at a time for it to fasten the compression time. Second problem is that the compression and decompression of complicated image files result into a bigger file than the original. And last, there is a loss of data when it exceeds the maximum limit of the dictionary. In order to solve the stated problems, the proponents suggested the following objectives: To be able to compress colored images with the same speed as with the grayscale image. Since compression of grayscale images is much faster compare to compressing to colored images. Thus, compressing both images should have least minimum time margin or for best to compressed with same speed. Next is to improve the compression percentage of when compressing colored images or images with high color noise. And last, to be able to read multiple characters at a time and to reduce the overall size of the dictionary and to make it as small as possible and to be able to prevent loss of data. The researches recommend people to use the enhanced application, and recommend those that are interested to further enhance the system, better improving the size of the dictionary.
506			_a
526			_aF
540			_a5
655			_a.
942			_alcc _cMS _2lcc
999			_c25325 _d25325