휴대전화 단말기를 위한 개선된 이미지 처리 알고리즘의 구현

Abstract

In this thesis, improvement algorithms of raising the memory efficiency through encoding or decoding the large size image of cellular phones are designed and realized.

Most of cellular phone uses bit mapped image in the memory with the value of hexadecimal, which is proper for rapid change and display of data.

However, It is needed the high quality of graphics in the cellular phone especially in the multimedia era. The improvement in the hardware and software technology made it possible to develope the cellular phone with 256 or 65,000 colors.

On the side of memory as an example, 6.4 Kbytes of memory are needed to store the image of 101 * 80 size with 256 colors.

Data compress technique is of interest, because cellular phone which uses a kind of operation system have limited memory and unit prices of the memory chips have significant effect on marketing.

Therefore, in this thesis, algorithms are proposed to decode LZW data and display image on LCD like a bitmap image through using the LZW compress algorithm which is used in GIF file. As a result of LZW compression of the bitmap image, proposed LZW(Lempel-Ziv-Welch) algorithm show the reduction of memory size as benefit of image size when convert bitmap image to GIF image.