A Non-Expansive Pyramidal Morphological Image Coder

Dinei A. Florencio and Ronald Schafer


Pyramid Image Coding is a natural coding scheme for

applications where progressive transmission is desired.

In this kind of coder, versions of the original image

at several resolution levels are formed by successive

filtering and subsampling. Then, beginning from the

coarsest image, the image is used to produce an estimate

for the next (higher resolution) level and the error

is coded and transmitted. While expansive pyramids

(e.g., Burt’s Laplacian Pyramid) are usually less efficient,

non-expansive pyramids tend to produce ringing

(e.g., Subband/Wavelet) and/or blocking (e.g., DCT).

In this paper we introduce a non-expansive pyramid

that does not. produce ringing or blocking effects. Instead,

the main artifact is texture removal. The simulations

have produced images with entropies in the

range of .2 to 1.5 bpp, with SNR figures similar to or

better than JPEG at equivalent rates. The proposed

coder has several atractive features, including 8 bit integer

operations only, a perfect reconstruction mode,

progressive transmission and an interesting progressive

computatiorl property.


Publication typeInproceedings
PublisherIEEE SPS
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