TY - JOUR
T1 - Speeding Up Fractal Image Compression Using DCT Descriptors
AU - Loay E. George and Nevart A. Minas
JO - Journal of Information and Computing Science
VL - 4
SP - 287
EP - 294
PY - 2024
DA - 2024/01
SN - 6
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/jics/22670.html
KW - 
AB - The main problem in the Fractal image compression (FIC) method is the long encoding time. In 
order to speed up the encoding stage, an improved PIFS scheme is introduced in this paper; In the introduced 
PIFS scheme the input color image is, converted from RGB color space to YUV  color space, and then the 
chromatic  bands  are  down  sampled  by  2.  The  zero-mean  range  and  domain  blocks  are  classified  using  a 
block  descriptor  which  is  determined  using  a  pair  of  low  frequency  DCT  coefficients  due  to  the  energy 
packing properties of DCT. The DCT descriptors are also used to address the isometric state of each range 
and domain blocks. The coefficients of the optimal affine approximation are quantized, and then coded using 
differential pulse code modulation (DPCM) and shift coding. The conducted tests results on Lena's standard 
image  indicated  that  the  encoding  time  is  reduced  to  (1  sec)  while  keeping  the  image  quality  above  the 
acceptable level and no significant reduction in the compression ratio was occurred.