Python PIL.ImageFilter.SMOOTH Examples

The following are 12 code examples of PIL.ImageFilter.SMOOTH(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module PIL.ImageFilter , or try the search function .
Example #1
Source File: test_image_filter.py    From python3_ios with BSD 3-Clause "New" or "Revised" License 6 votes vote down vote up 
def test_sanity(self):

        def filter(filter):
            for mode in ["L", "RGB", "CMYK"]:
                im = hopper(mode)
                out = im.filter(filter)
                self.assertEqual(out.mode, im.mode)
                self.assertEqual(out.size, im.size)

        filter(ImageFilter.BLUR)
        filter(ImageFilter.CONTOUR)
        filter(ImageFilter.DETAIL)
        filter(ImageFilter.EDGE_ENHANCE)
        filter(ImageFilter.EDGE_ENHANCE_MORE)
        filter(ImageFilter.EMBOSS)
        filter(ImageFilter.FIND_EDGES)
        filter(ImageFilter.SMOOTH)
        filter(ImageFilter.SMOOTH_MORE)
        filter(ImageFilter.SHARPEN)
        filter(ImageFilter.MaxFilter)
        filter(ImageFilter.MedianFilter)
        filter(ImageFilter.MinFilter)
        filter(ImageFilter.ModeFilter)
        filter(ImageFilter.GaussianBlur)
        filter(ImageFilter.GaussianBlur(5))
        filter(ImageFilter.BoxBlur(5))
        filter(ImageFilter.UnsharpMask)
        filter(ImageFilter.UnsharpMask(10))

        self.assertRaises(TypeError, filter, "hello")
Example #2
Source File: pilutil.py    From Splunking-Crime with GNU Affero General Public License v3.0 6 votes vote down vote up 
def imfilter(arr, ftype):
    """
    Simple filtering of an image.

    Parameters
    ----------
    arr : ndarray
        The array of Image in which the filter is to be applied.
    ftype : str
        The filter that has to be applied. Legal values are:
        'blur', 'contour', 'detail', 'edge_enhance', 'edge_enhance_more',
        'emboss', 'find_edges', 'smooth', 'smooth_more', 'sharpen'.

    Returns
    -------
    imfilter : ndarray
        The array with filter applied.

    Raises
    ------
    ValueError
        *Unknown filter type.*  If the filter you are trying
        to apply is unsupported.

    """
    _tdict = {'blur': ImageFilter.BLUR,
              'contour': ImageFilter.CONTOUR,
              'detail': ImageFilter.DETAIL,
              'edge_enhance': ImageFilter.EDGE_ENHANCE,
              'edge_enhance_more': ImageFilter.EDGE_ENHANCE_MORE,
              'emboss': ImageFilter.EMBOSS,
              'find_edges': ImageFilter.FIND_EDGES,
              'smooth': ImageFilter.SMOOTH,
              'smooth_more': ImageFilter.SMOOTH_MORE,
              'sharpen': ImageFilter.SHARPEN
              }

    im = toimage(arr)
    if ftype not in _tdict:
        raise ValueError("Unknown filter type.")
    return fromimage(im.filter(_tdict[ftype]))
Example #3
Source File: picmaker.py    From pds-tools with Academic Free License v3.0 6 votes vote down vote up 
def FilterImage(image, filter_name):
    """Applies an arbitrary filtering to a PIL image. Note that this does not
    work for two-byte images.

    Input:
        image               a PIL image as 8-bit RGB or grayscale.
        filter_name         name of the filter to be applied. Choices are
                            "NONE", "BLUR", "CONTOUR", "DETAIL" ,"EDGE_ENHANCE",
                            "EDGE_ENHANCE_MORE", "EMBOSS", "FIND_EDGES",
                            "SMOOTH", "SMOOTH_MORE", "SHARPEN", "MEDIAN_3",
                            "MEDIAN_5", "MEDIAN_7", "MINIMUM_3", "MINIMUM_5",
                            "MINIMUM_7" ,"MAXIMUM_3", "MAXIMUM_5", and
                            "MAXIMUM_7".

    Return:                 a pointer to the filtered image.
    """

    if type(image) == list:
        raise ValueError("filtering of 2-byte images is not supported")

    # Look up filter method
    if filter:
        filter_method = FILTER_DICT[filter_name.upper()]
    else:
        filter_method = None

    # Apply filter if necessary
    if filter_method: image = image.filter(filter_method)

    return image

################################################################################
# Re-size a PIL image
################################################################################
Example #4
Source File: pilutil.py    From lambda-packs with MIT License 5 votes vote down vote up 
def imfilter(arr, ftype):
    """
    Simple filtering of an image.

    This function is only available if Python Imaging Library (PIL) is installed.

    .. warning::

        This function uses `bytescale` under the hood to rescale images to use
        the full (0, 255) range if ``mode`` is one of ``None, 'L', 'P', 'l'``.
        It will also cast data for 2-D images to ``uint32`` for ``mode=None``
        (which is the default).

    Parameters
    ----------
    arr : ndarray
        The array of Image in which the filter is to be applied.
    ftype : str
        The filter that has to be applied. Legal values are:
        'blur', 'contour', 'detail', 'edge_enhance', 'edge_enhance_more',
        'emboss', 'find_edges', 'smooth', 'smooth_more', 'sharpen'.

    Returns
    -------
    imfilter : ndarray
        The array with filter applied.

    Raises
    ------
    ValueError
        *Unknown filter type.*  If the filter you are trying
        to apply is unsupported.

    """
    _tdict = {'blur': ImageFilter.BLUR,
              'contour': ImageFilter.CONTOUR,
              'detail': ImageFilter.DETAIL,
              'edge_enhance': ImageFilter.EDGE_ENHANCE,
              'edge_enhance_more': ImageFilter.EDGE_ENHANCE_MORE,
              'emboss': ImageFilter.EMBOSS,
              'find_edges': ImageFilter.FIND_EDGES,
              'smooth': ImageFilter.SMOOTH,
              'smooth_more': ImageFilter.SMOOTH_MORE,
              'sharpen': ImageFilter.SHARPEN
              }

    im = toimage(arr)
    if ftype not in _tdict:
        raise ValueError("Unknown filter type.")
    return fromimage(im.filter(_tdict[ftype]))
Example #5
Source File: captcha.py    From Python24 with MIT License 5 votes vote down vote up 
def smooth(image):
        return image.filter(ImageFilter.SMOOTH)
Example #6
Source File: pilutil.py    From Computable with MIT License 5 votes vote down vote up 
def imfilter(arr,ftype):
    """
    Simple filtering of an image.

    Parameters
    ----------
    arr : ndarray
        The array of Image in which the filter is to be applied.
    ftype : str
        The filter that has to be applied. Legal values are:
        'blur', 'contour', 'detail', 'edge_enhance', 'edge_enhance_more',
        'emboss', 'find_edges', 'smooth', 'smooth_more', 'sharpen'.

    Returns
    -------
    imfilter : ndarray
        The array with filter applied.

    Raises
    ------
    ValueError
        *Unknown filter type.*  If the filter you are trying
        to apply is unsupported.

    """
    _tdict = {'blur':ImageFilter.BLUR,
              'contour':ImageFilter.CONTOUR,
              'detail':ImageFilter.DETAIL,
              'edge_enhance':ImageFilter.EDGE_ENHANCE,
              'edge_enhance_more':ImageFilter.EDGE_ENHANCE_MORE,
              'emboss':ImageFilter.EMBOSS,
              'find_edges':ImageFilter.FIND_EDGES,
              'smooth':ImageFilter.SMOOTH,
              'smooth_more':ImageFilter.SMOOTH_MORE,
              'sharpen':ImageFilter.SHARPEN
              }

    im = toimage(arr)
    if ftype not in _tdict:
        raise ValueError("Unknown filter type.")
    return fromimage(im.filter(_tdict[ftype]))
Example #7
Source File: test_image_filter.py    From python3_ios with BSD 3-Clause "New" or "Revised" License 5 votes vote down vote up 
def test_crash(self):

        # crashes on small images
        im = Image.new("RGB", (1, 1))
        im.filter(ImageFilter.SMOOTH)

        im = Image.new("RGB", (2, 2))
        im.filter(ImageFilter.SMOOTH)

        im = Image.new("RGB", (3, 3))
        im.filter(ImageFilter.SMOOTH)
Example #8
Source File: macintoshplus.py    From NotSoBot with MIT License 5 votes vote down vote up 
def smooth(im, k=3):
	return im.filter(ImageFilter.SMOOTH)
Example #9
Source File: image.py    From captcha with BSD 3-Clause "New" or "Revised" License 5 votes vote down vote up 
def generate_image(self, chars):
        """Generate the image of the given characters.

        :param chars: text to be generated.
        """
        background = random_color(238, 255)
        color = random_color(10, 200, random.randint(220, 255))
        im = self.create_captcha_image(chars, color, background)
        self.create_noise_dots(im, color)
        self.create_noise_curve(im, color)
        im = im.filter(ImageFilter.SMOOTH)
        return im
Example #10
Source File: macintoshplus.py    From Trusty-cogs with MIT License 5 votes vote down vote up 
def smooth(im, k=3):
    return im.filter(ImageFilter.SMOOTH)
Example #11
Source File: pilutil.py    From GraphicDesignPatternByPython with MIT License 4 votes vote down vote up 
def imfilter(arr, ftype):
    """
    Simple filtering of an image.

    This function is only available if Python Imaging Library (PIL) is installed.

    .. warning::

        This function uses `bytescale` under the hood to rescale images to use
        the full (0, 255) range if ``mode`` is one of ``None, 'L', 'P', 'l'``.
        It will also cast data for 2-D images to ``uint32`` for ``mode=None``
        (which is the default).

    Parameters
    ----------
    arr : ndarray
        The array of Image in which the filter is to be applied.
    ftype : str
        The filter that has to be applied. Legal values are:
        'blur', 'contour', 'detail', 'edge_enhance', 'edge_enhance_more',
        'emboss', 'find_edges', 'smooth', 'smooth_more', 'sharpen'.

    Returns
    -------
    imfilter : ndarray
        The array with filter applied.

    Raises
    ------
    ValueError
        *Unknown filter type.*  If the filter you are trying
        to apply is unsupported.

    """
    _tdict = {'blur': ImageFilter.BLUR,
              'contour': ImageFilter.CONTOUR,
              'detail': ImageFilter.DETAIL,
              'edge_enhance': ImageFilter.EDGE_ENHANCE,
              'edge_enhance_more': ImageFilter.EDGE_ENHANCE_MORE,
              'emboss': ImageFilter.EMBOSS,
              'find_edges': ImageFilter.FIND_EDGES,
              'smooth': ImageFilter.SMOOTH,
              'smooth_more': ImageFilter.SMOOTH_MORE,
              'sharpen': ImageFilter.SHARPEN
              }

    im = toimage(arr)
    if ftype not in _tdict:
        raise ValueError("Unknown filter type.")
    return fromimage(im.filter(_tdict[ftype]))
Example #12
Source File: image.py    From Fruit-API with GNU General Public License v3.0 4 votes vote down vote up 
def imfilter(arr, ftype):
    """
    Simple filtering of an image.

    This function is only available if Python Imaging Library (PIL) is installed.

    .. warning::

        This function uses `bytescale` under the hood to rescale images to use
        the full (0, 255) range if ``mode`` is one of ``None, 'L', 'P', 'l'``.
        It will also cast data for 2-D images to ``uint32`` for ``mode=None``
        (which is the default).

    Parameters
    ----------
    arr : ndarray
        The array of Image in which the filter is to be applied.
    ftype : str
        The filter that has to be applied. Legal values are:
        'blur', 'contour', 'detail', 'edge_enhance', 'edge_enhance_more',
        'emboss', 'find_edges', 'smooth', 'smooth_more', 'sharpen'.

    Returns
    -------
    imfilter : ndarray
        The array with filter applied.

    Raises
    ------
    ValueError
        *Unknown filter type.*  If the filter you are trying
        to apply is unsupported.

    """
    _tdict = {'blur': ImageFilter.BLUR,
              'contour': ImageFilter.CONTOUR,
              'detail': ImageFilter.DETAIL,
              'edge_enhance': ImageFilter.EDGE_ENHANCE,
              'edge_enhance_more': ImageFilter.EDGE_ENHANCE_MORE,
              'emboss': ImageFilter.EMBOSS,
              'find_edges': ImageFilter.FIND_EDGES,
              'smooth': ImageFilter.SMOOTH,
              'smooth_more': ImageFilter.SMOOTH_MORE,
              'sharpen': ImageFilter.SHARPEN
              }

    im = toimage(arr)
    if ftype not in _tdict:
        raise ValueError("Unknown filter type.")
    return fromimage(im.filter(_tdict[ftype]))