Adjusted JPEG quantization tables in support of GPS Maps

Yair Wiseman

פרסום מחקרי: פרסום בכתב עתמאמרביקורת עמיתים


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.

שפה מקוריתאנגלית
עמודים (מ-עד)637-656
מספר עמודים20
כתב עתJournal of Mobile Multimedia
מספר גיליון4
מזהי עצם דיגיטלי (DOIs)
סטטוס פרסוםפורסם - 2 יוני 2021
פורסם באופן חיצוניכן

הערה ביבליוגרפית

Publisher Copyright:
© 2021 River Publishers

טביעת אצבע

להלן מוצגים תחומי המחקר של הפרסום 'Adjusted JPEG quantization tables in support of GPS Maps'. יחד הם יוצרים טביעת אצבע ייחודית.

פורמט ציטוט ביבליוגרפי