TY - JOUR
T1 - Reduction of Blocking artifacts in Compressed Medical Images
AU - Jagroop Singh, Sukhwinder Singh and Dilbag Singh
JO - Journal of Information and Computing Science
VL - 2
SP - 096
EP - 102
PY - 2024
DA - 2024/01
SN - 8
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/jics/22618.html
KW - Image Compress, DCT.  

AB -  Medical  images  require  large  amounts  of  memory.  This  calls  for  image  compression  (block-
based DCT compression) to reduce significantly the amount of data required to represent an image. One of 
the major drawbacks of the block-based DCT compression methods is that it may result in visible artifacts at 
block  boundaries  due  to  coarse  quantization  of  the  coefficients.  This  paper  proposes  a  new  adaptive  post-
filtering algorithm to remove coding artifacts in block-based DCT compressed medical images. The blocking 
artifact in the smooth and non-smooth regions are removed by modifying a few DCT coefficients while an 
edge  preserving  smoothing  filter  is  applied  to  the  intermediate  region.  Experimental  results  illustrating  the 
performance of proposed method on the basis of PSNR, MSSIM, and SF indices are presented and evaluated. 
Compared  with  other  methods,  the  proposed  one  achieves  better  detail  preservation  and  artifact  removal 
performance with lower computational complexity.