TY - JOUR
T1 - Adjusted JPEG quantization tables in support of GPS Maps
AU - Wiseman, Yair
N1 - Publisher Copyright:
© 2021 River Publishers
PY - 2021/6/2
Y1 - 2021/6/2
N2 - Image quality manipulating in JPEG is done by quantization tables. JPEG has two quantization tables - one table for the luminance information and one table for the chrominance information. These quantization tables have been designed in support of images with few sharp changes; however, typically most GPS image maps have many sharp changes and as a result, the images are not optimally compressed. The designers of the quantization tables have presumed that sharp changes in the colors will rarely occur. Therefore, they divide the values that represent sharp changes in the frequency space by large numbers and divide other values by smaller numbers. As a result, when there are sharp changes in an image, the proportional allocation for each kind of data in the compressed image is inappropriate and results in an inefficient compression. In this paper the standard quantization tables have been modified as to handle the different kinds of GPS image map data appropriately. Consequently, the experimental results show that images with sharp changes are compressed more efficiently when making use of the new quantization tables.
AB - Image quality manipulating in JPEG is done by quantization tables. JPEG has two quantization tables - one table for the luminance information and one table for the chrominance information. These quantization tables have been designed in support of images with few sharp changes; however, typically most GPS image maps have many sharp changes and as a result, the images are not optimally compressed. The designers of the quantization tables have presumed that sharp changes in the colors will rarely occur. Therefore, they divide the values that represent sharp changes in the frequency space by large numbers and divide other values by smaller numbers. As a result, when there are sharp changes in an image, the proportional allocation for each kind of data in the compressed image is inappropriate and results in an inefficient compression. In this paper the standard quantization tables have been modified as to handle the different kinds of GPS image map data appropriately. Consequently, the experimental results show that images with sharp changes are compressed more efficiently when making use of the new quantization tables.
KW - GPS
KW - Image compression
KW - JPEG
KW - Quantization tables
UR - http://www.scopus.com/inward/record.url?scp=85114185047&partnerID=8YFLogxK
U2 - 10.13052/jmm1550-4646.1747
DO - 10.13052/jmm1550-4646.1747
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AN - SCOPUS:85114185047
SN - 1550-4646
VL - 17
SP - 637
EP - 656
JO - Journal of Mobile Multimedia
JF - Journal of Mobile Multimedia
IS - 4
ER -