jpeg.c File Reference

Python extension for writing jpegs for image arrays in MEFs. More...

#include <Python.h>
#include "dataops.h"
#include "fitsutil.h"
#include "jpeglib.h"

Include dependency graph for jpeg.c:

Defines
#define	SIGN(a, b)   ((b) >= 0.0 ? fabs(a) : -fabs(a))
Functions
void	get_jbuffer (JSAMPLE *jbuffer, float *buffer, int npixx, int npixy, int binsize)
void	write_jpeg (JSAMPLE *jbuffer, int npixx, int npixy, char *filename, int quality)
static PyObject *	mef2jpeg (PyObject *self, PyObject *args, PyObject *kwds)
void	initjpeg (void)
Variables
static char	mef2jpeg_docs []
static PyMethodDef	jpeg_funcs []

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Detailed Description

Python extension for writing jpegs for image arrays in MEFs.

Author:

Ian Bond, IfA, University of Edinburgh

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Define Documentation

#define SIGN	(	a,
		b		)	((b) >= 0.0 ? fabs(a) : -fabs(a))

Referenced by mef2jpeg().

---

Function Documentation

void get_jbuffer	(	JSAMPLE *	jbuffer,
		float *	buffer,
		int	npixx,
		int	npixy,
		int	binsize
	)

References get_binned().

Referenced by mef2jpeg().

void initjpeg

(

void

)

References jpeg_funcs.

static PyObject* mef2jpeg	(	PyObject *	self,
		PyObject *	args,
		PyObject *	kwds
	)			[static]

References get_cds(), get_height(), get_jbuffer(), get_maxmin(), get_rawimage(), get_width(), handle_fitsio_error(), scaleasinh(), SIGN, and write_jpeg().

void write_jpeg	(	JSAMPLE *	jbuffer,
		int	npixx,
		int	npixy,
		char *	filename,
		int	quality
	)

Referenced by mef2jpeg().

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Variable Documentation

PyMethodDef jpeg_funcs[] [static]

Initial value:

 {
  {"mef2jpeg", (PyCFunction)mef2jpeg, METH_KEYWORDS, mef2jpeg_docs},
  {NULL}
}

Referenced by initjpeg().

char mef2jpeg_docs[] [static]

Initial value:

  "Make compressed JPEGs from MEF images.\n\
   \n\
   @param hdumap:    Dictionary of output file names referenced by \
                     HDU number.\n\
   @type  hdumap:    dict(int:str)\n\
   @param mef:       Name of FITS MEF file.\n\
   @type  mef:       str\n\
   @param coordfile: Name arrow co-ordinate file to use for this JPEG.\n\
   @type  coordfile: str\n\
   @param scrunch:   Reduce number of pixels by this factor.\n\
   @type  scrunch:   int\n\
   @param quality:   JPEG compression quality (percentage).\n\
   @type  quality:   int\n\
   @param contrast:  Greyscale contrast (fraction).\n\
   @type  contrast:  float\n\
   @param neoverlay: If True, overlay a North-East direction indicator.\n\
   @type  neoverlay: bool\n\
   @param theta:     Radians to rotate image by.\n\
   @type  theta:     float\n\
   \n\
   @return: Dictionary of maximum, minimum and median pixel values in original\
            image referenced by HDU number.\n\
   @rtype:  dict(int:tuple(float, float, float))"