A RECURSIVE ALGORITHM FOR THE REDUCTION OF QUANTIZATION EFFECTS OF IMAGE COMPRESSION
Fabrizio Russo
Abstract:
A simple technique for the restoration of color images degraded by lossy compression is presented. The proposed approach deals with the YIQ color space and processes the luminance component by means of a recursive algorithm based on fuzzy models. This design choice combines effectiveness and simplicity. Indeed, the method can satisfactorily reduce quantization errors produced by lossy compression such as the popular JPEG technique. On the other hand, the tuning process is very fast because it requires one parameter only.
Keywords:
quantization, noise cancellation, nonlinear filters
Download:
IMEKO-TC4-2001-117.pdf
DOI:
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Event details
IMEKO TC:
TC4
Event name:
TC4 Symposium 2001
Title:

11th IMEKO TC4 Symposium on Trends in Electrical Measurements and Instrumentation (together with 6th IMEKO TC4 Workshop on ADC Modelling and Testing)

Place:
Lisbon, PORTUGAL
Time:
13 September 2001 - 14 September 2001
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