A new transform coder based on the zonal sampling strategy, which outp
erforms the JPEG baseline coder with comparable computational complexi
ty, is presented. The primary transform used is the 8- x 8-pixel-block
discrete cosine transform, although if can be replaced by other trans
forms, such as the lapped orthogonal transform, without any change in
the algorithm. This coder is originally based on the Chen-Smith coder,
therefore, we call it an improved Chen-Smith (ICS) coder. However, be
cause many new features were incorporated in this improved version, it
largely outperforms its predecessor, Key approaches in the ICS coder,
such as a new quantizer design, arithmetic coders, noninteger bit-rat
e allocation, decimated variance maps, distance-based block classifica
tion, and human visual sensitivity weighting are essential for its hig
h performance. Image compression programs were developed and applied t
o several test images. The results show that the ICS performs substant
ially better than the JPEG coder.