  Traditional search algorithms for computer hologram generation such as Direct
Search and Simulated Annealing offer some of the best hologram qualities at
convergence when compared to rival approaches. Their slow generation times and
high processing power requirements mean, however, that they see little use in
performance critical applications. This paper presents the novel Sorted Pixel
Selection (SPS) modification for Holographic Search Algorithms (HSAs) that
offers Mean Square Error (MSE) reductions in the range of 14.7 - 19.2% for the
test images used. SPS operates by substituting a weighted search selection
procedure for traditional random pixel selection processes. While small, the
improvements seen are observed consistently across a wide range of test cases
and require limited overhead for implementation.
