A GaAs video rate morphological processor for image coding and compression
Andrew Mehnert, Neil Burgess, Kamran Eshraghian, Wojciech Kuczborski, Roberto Sarmiento · AMS Acta (University of Bologna) · 1996
Several image coding and compression schemes based on Mathematical Morphology have been documented in the literature including: morphological skeleton coding [1], multiresolution analysis [2], morphological pyramid coding [3,4], morphological subband coding [5,6], and segmentation-based coding using the watershed transform [7,8]. The advantages of the morphological approach over more traditional linear methods are: low computational complexity, inherent parallelism, and elimination of the ringing and blurring associated with linear techniques such as linear subband coding and transform coding using the discrete cosine transform (the latter is used in JPEG and MPEG). Morphological compression algorithms rely on two basic transformations: the dilation and the erosion. Hardware implementation of these operations is needed to realise the computational speed required for the real time processing of video. This paper proffers specifications for a video rate VLSI processor and examines the throughput and organisation for an implementation in 0.5 um GaAs technology.