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THE IMAGE COMPRESSION FOR THE PERSONAL INCOME TAX APPLICATION FORMS

 

TITLE THE IMAGE COMPRESSION FOR THE PERSONAL INCOME TAX APPLICATION FORMS
AUTHOR KANYARAT PROMPIM
DEGREE MASTER OF SCIENCE PROGRAMME IN COMPUTER SCIENCE
FACULTY FACULTY OF SCIENCE
ADVISOR DAMRAS WONGSAWANG
CO-ADVISOR CHOMTIP PORNPANOMCHAI
 
ABSTRACT
This project presented the ad hoc image compression system for the Personal Income Tax application forms (PIT forms) of The Revenue Department (RD) of Thailand. The key feature of the method is to perform an image compression using image segmentation by determining redundant areas and non-redundant blocks of PIT form. The redundant areas are then used to define a template of that type of PIT form and keep it only once. The non-redundant areas are compressed by using Run Length Encoding (RLE) technique. The compressed image can be reconstructed to the original image by using template and blocks of image segments without any loss of data content. This will reduce size of PIT forms before storing in storage device and also reduce the bandwidth of transmission. The experimental results showed that the proposed image compression generates lossless compressed files smaller than other lossless techniques, e.g., LZW, RLE, JPEG (lossless mode) without segmentation. The proposed technique gives a compression ratio comparable to CCITT3 standard image compression but implementation is much easier.
KEYWORD IMAGE COMPRESSION / LOSSLESS COMPRESSION / IMAGE DE-SKEWING / IMAGE DISPLACEMENT / IMAGE SEGMENTATION / IMAGE RECONSTRUCTION

 

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