X-Git-Url: http://git.kpe.io/?a=blobdiff_plain;f=NEWS;h=078791b63d3b888cf0e5ca487b74cd05b89beb28;hb=5818c9b1d41487296719cd7bd7aa911e08c8a06b;hp=5048b7920c2ca69ddf562c2fe942b822b3a961be;hpb=4b18b0a7fed4e25130c6edf7929d0df50b8c24ea;p=ctsim.git

diff --git a/NEWS b/NEWS
index 5048b79..078791b 100644
--- a/NEWS
+++ b/NEWS
@@ -1,18 +1,53 @@
-Version 2.0 of CTSim is near completion!
+Version 3.0 New Features
+
+* Greatly improved dialog boxes
+
+* Online and print manuals with context-sensitive help!
+
+* 3-d rotating views of image files
+
+* Creation of arbitrary filter images
+
+* Cubic interpolation for reconstructions
+
+* All features of command line tools are now in graphical ctsim program!
+
+* Complex-valued image files now supported, lots of image math
+ functions added including Fourier transformations
+
+* Visual and statistical image comparision functions
+
+* 2D plots of row and column data of single and comparison images
+
+* Histogram Plotting
+
+* Conversion of projections to polar images
+
+ 
+Version 2.5 of CTSim has been released!
+
+New Features of CTSim version 2.5:
+
+- Now compiles with Microsoft Visual C++.
+
+- First Microsoft Windows graphical user interface
+
+- Bug fixes and modest documentation and program improvements over version 2.0
+
 
 
 New Features of CTSim version 2.0:
 
-- Entire code-base, except for SGP & EZPlot, cleaned up,
-  re-written, and converted from C to C++.
+- Entire code-base cleaned up, re-written, and converted from C to C++.
+
+- Graphical user interface now included! Animation of projection and
+  reconstruction processes. Displays projection and image files. Uses
+  platform-independent wxWindows library so can run on UNIX and 
+  Microsoft Windows platforms.
 
 - Integrated G2 library for graphical display from command line tools
   (UNIX only)
 
-- Graphic front-end (ctsim) initial implemention. Can display
-  projection and image files. Uses platform-independent wxWindows
-  so can run on UNIX and Windows platforms.
-
 - Added frequency-based filtering. Can provide significant speed-up
   in reconstructions compared to convolution-based filtering.