A model for entropy coding in matching pursuit
M. Gharavi-Aikhansari · 2002
Matching pursuit is a powerful and flexible optimisation technique that has found applications in different areas, including image and video compression. This paper proposes an underlying probabilistic model for the entropy coding of the parameters generated by the matching pursuit algorithm in the context of image coding. It also distinguishes between orthogonal and fully-orthogonal matching pursuit, and provides a formulation for rate-distortion optimized matching pursuit.