# Plotting image data in Julia is much slower than MATLAB

**URL:** <https://discourse.julialang.org/t/plotting-image-data-in-julia-is-much-slower-than-matlab/79660>\
**Category:** General Usage\
**Tags:** images, matlab\
**Created:** [April 18, 2022, 9:36pm UTC](https://discourse.julialang.org/t/plotting-image-data-in-julia-is-much-slower-than-matlab/79660 "2022-04-18T21:36:58Z")\
**Posts on this page:** 1\
**Showing post:** 17

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**Author:** ![stevengj](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/stevengj/32/71_2.png) [@stevengj](https://discourse.julialang.org/u/stevengj)\
**Post date:** [April 20, 2022, 12:47am UTC](https://discourse.julialang.org/t/plotting-image-data-in-julia-is-much-slower-than-matlab/79660/17 "2022-04-20T00:47:07Z")

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It would be great to have more Julia packages for downsampling huge datasets for visualization, since there are a variety of strategies for different kinds of data.

For inspiration, see e.g. the Python [`datashader` package](https://datashader.org/) for visualizing point clouds, this [thesis on downsampling huge timeseries](https://skemman.is/bitstream/1946/15343/3/SS_MSthesis.pdf), [this paper on downsampling volumetric data](https://upcommons.upc.edu/bitstream/handle/2117/111411/IADIS-CGVCV2017-.pdf?sequence=1&isAllowed=y) giving a “new low-cost downsampling filter” (and also nicely reviewing a lot of related algorithms), and the Julia [GigaSOM.jl](https://github.com/LCSB-BioCore/GigaSOM.jl) package for visualizing huge cytometry datasets. There is also [this discussion thread](https://forum.image.sc/t/best-software-to-work-with-large-images/27836/16) on software for visualizing huge medical images (hundreds of GiB).

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