#ifdef HAVE_CONFIG_H # include #endif #include #include #include #include "gstplugin.h" #include "gstgaussblur.h" static gboolean gauss_blur_stop (GstBaseTransform * btrans); static gboolean gauss_blur_set_caps (GstBaseTransform * btrans, GstCaps * incaps, GstCaps * outcaps); static GstFlowReturn gauss_blur_process_frame (GstBaseTransform * btrans, GstBuffer * in_buf, GstBuffer * out_buf); static void gauss_blur_set_property (GObject * object, guint prop_id, const GValue * value, GParamSpec * pspec); static void gauss_blur_get_property (GObject * object, guint prop_id, GValue * value, GParamSpec * pspec); GST_DEBUG_CATEGORY_STATIC (gst_gauss_blur_debug); #define GST_CAT_DEFAULT gst_gauss_blur_debug #if G_BYTE_ORDER == G_LITTLE_ENDIAN #define CAPS_STR_RGB GST_VIDEO_CAPS_BGRx ";" GST_VIDEO_CAPS_RGBx #else #define CAPS_STR_RGB GST_VIDEO_CAPS_xRGB ";" GST_VIDEO_CAPS_xBGR #endif #define CAPS_STR GST_VIDEO_CAPS_YUV("AYUV") /* The capabilities of the inputs and outputs. */ static GstStaticPadTemplate sink_factory = GST_STATIC_PAD_TEMPLATE ("sink", GST_PAD_SINK, GST_PAD_ALWAYS, GST_STATIC_CAPS (CAPS_STR) ); static GstStaticPadTemplate src_factory = GST_STATIC_PAD_TEMPLATE ("src", GST_PAD_SRC, GST_PAD_ALWAYS, GST_STATIC_CAPS (CAPS_STR) ); enum { PROP_0, PROP_SIGMA, PROP_LAST }; static void cleanup (GaussBlur * gb); static gboolean make_gaussian_kernel (GaussBlur * gb, float sigma); static void gaussian_smooth (GaussBlur * gb, guint8 * image, guint8 * out_image); GST_BOILERPLATE (GaussBlur, gauss_blur, GstVideoFilter, GST_TYPE_VIDEO_FILTER); #define DEFAULT_SIGMA 1.2 static void gauss_blur_base_init (gpointer gclass) { GstElementClass *element_class = GST_ELEMENT_CLASS (gclass); gst_element_class_set_details_simple (element_class, "GaussBlur", "Filter/Effect/Video", "Perform Gaussian blur/sharpen on a video", "Jan Schmidt "); gst_element_class_add_static_pad_template (element_class, &src_factory); gst_element_class_add_static_pad_template (element_class, &sink_factory); } static void gauss_blur_class_init (GaussBlurClass * klass) { GObjectClass *object_class = (GObjectClass *) klass; GstBaseTransformClass *trans_class = (GstBaseTransformClass *) klass; object_class->set_property = gauss_blur_set_property; object_class->get_property = gauss_blur_get_property; trans_class->stop = gauss_blur_stop; trans_class->set_caps = gauss_blur_set_caps; trans_class->transform = gauss_blur_process_frame; g_object_class_install_property (object_class, PROP_SIGMA, g_param_spec_double ("sigma", "Sigma", "Sigma value for gaussian blur (negative for sharpen)", -20.0, 20.0, DEFAULT_SIGMA, G_PARAM_READWRITE | GST_PARAM_CONTROLLABLE | G_PARAM_STATIC_STRINGS)); } static void gauss_blur_init (GaussBlur * gb, GaussBlurClass * gclass) { gb->sigma = DEFAULT_SIGMA; gb->cur_sigma = -1.0; } static void cleanup (GaussBlur * gb) { g_free (gb->tempim); gb->tempim = NULL; g_free (gb->smoothedim); gb->smoothedim = NULL; g_free (gb->kernel); gb->kernel = NULL; g_free (gb->kernel_sum); gb->kernel_sum = NULL; } static gboolean gauss_blur_stop (GstBaseTransform * btrans) { GaussBlur *gb = GAUSS_BLUR (btrans); cleanup (gb); return TRUE; } static gboolean gauss_blur_set_caps (GstBaseTransform * btrans, GstCaps * incaps, GstCaps * outcaps) { GaussBlur *gb = GAUSS_BLUR (btrans); GstStructure *structure; GstVideoFormat format; guint32 n_elems; structure = gst_caps_get_structure (incaps, 0); g_return_val_if_fail (structure != NULL, FALSE); if (!gst_video_format_parse_caps (incaps, &format, &gb->width, &gb->height)) return FALSE; /* get stride */ gb->stride = gst_video_format_get_row_stride (format, 0, gb->width); n_elems = gb->stride * gb->height; gb->tempim = g_malloc (sizeof (gfloat) * n_elems); //gb->smoothedim = g_malloc (sizeof (guint16) * n_elems); return TRUE; } static GstFlowReturn gauss_blur_process_frame (GstBaseTransform * btrans, GstBuffer * in_buf, GstBuffer * out_buf) { GaussBlur *gb = GAUSS_BLUR (btrans); GstClockTime timestamp; gint64 stream_time; gfloat sigma; /* GstController: update the properties */ timestamp = GST_BUFFER_TIMESTAMP (in_buf); stream_time = gst_segment_to_stream_time (&btrans->segment, GST_FORMAT_TIME, timestamp); if (GST_CLOCK_TIME_IS_VALID (stream_time)) gst_object_sync_values (G_OBJECT (gb), stream_time); GST_OBJECT_LOCK (gb); sigma = gb->sigma; GST_OBJECT_UNLOCK (gb); if (gb->cur_sigma != sigma) { g_free (gb->kernel); gb->kernel = NULL; g_free (gb->kernel_sum); gb->kernel_sum = NULL; gb->cur_sigma = sigma; } if (gb->kernel == NULL && !make_gaussian_kernel (gb, gb->cur_sigma)) { GST_ELEMENT_ERROR (btrans, RESOURCE, NO_SPACE_LEFT, ("Out of memory"), ("Failed to allocation gaussian kernel")); return GST_FLOW_ERROR; } /* * Perform gaussian smoothing on the image using the input standard * deviation. */ memcpy (GST_BUFFER_DATA (out_buf), GST_BUFFER_DATA (in_buf), gb->height * gb->stride); gaussian_smooth (gb, GST_BUFFER_DATA (in_buf), GST_BUFFER_DATA (out_buf)); return GST_FLOW_OK; } static void blur_row_x (GaussBlur * gb, guint8 * in_row, gfloat * out_row) { int c, cc, center; float dot[4], sum; int k, kmin, kmax; center = gb->windowsize / 2; for (c = 0; c < gb->width; c++) { /* Calculate min */ cc = center - c; kmin = MAX (0, cc); cc = kmin - cc; /* Calc max */ kmax = MIN (gb->windowsize, gb->width - cc); cc *= 4; dot[0] = dot[1] = dot[2] = dot[3] = 0.0; /* Calculate sum for range */ sum = gb->kernel_sum[kmax - 1]; sum -= kmin ? gb->kernel_sum[kmin - 1] : 0.0; for (k = kmin; k < kmax; k++) { float coeff = gb->kernel[k]; dot[0] += (float) in_row[cc++] * coeff; dot[1] += (float) in_row[cc++] * coeff; dot[2] += (float) in_row[cc++] * coeff; dot[3] += (float) in_row[cc++] * coeff; } out_row[c * 4] = dot[0] / sum; out_row[c * 4 + 1] = dot[1] / sum; out_row[c * 4 + 2] = dot[2] / sum; out_row[c * 4 + 3] = dot[3] / sum; } } static void gaussian_smooth (GaussBlur * gb, guint8 * image, guint8 * out_image) { int r, c, rr, center; float dot[4], sum; int k, kmin, kmax; guint8 *in_row = image; float *tmp_out_row = gb->tempim; float *tmp_in_pos; gint y_avail = 0; guint8 *out_row; /* Apply the gaussian kernel */ center = gb->windowsize / 2; /* Blur in the y - direction. */ for (r = 0; r < gb->height; r++) { /* Calculate input row range */ rr = center - r; kmin = MAX (0, rr); rr = kmin - rr; /* Calc max */ kmax = MIN (gb->windowsize, gb->height - rr); /* Precalculate sum for range */ sum = gb->kernel_sum[kmax - 1]; sum -= kmin ? gb->kernel_sum[kmin - 1] : 0.0; /* Blur more input rows (x direction blur) */ while (y_avail <= (r + center) && y_avail < gb->height) { blur_row_x (gb, in_row, tmp_out_row); in_row += gb->stride; tmp_out_row += gb->stride; y_avail++; } tmp_in_pos = gb->tempim + (rr * gb->stride); out_row = out_image + r * gb->stride; for (c = 0; c < gb->width; c++) { float *tmp = tmp_in_pos; dot[0] = dot[1] = dot[2] = dot[3] = 0.0; for (k = kmin; k < kmax; k++, tmp += gb->stride) { float kern = gb->kernel[k]; dot[0] += tmp[0] * kern; dot[1] += tmp[1] * kern; dot[2] += tmp[2] * kern; dot[3] += tmp[3] * kern; } *out_row++ = (guint8) CLAMP ((dot[0] / sum + 0.5), 0, 255); *out_row++ = (guint8) CLAMP ((dot[1] / sum + 0.5), 0, 255); *out_row++ = (guint8) CLAMP ((dot[2] / sum + 0.5), 0, 255); *out_row++ = (guint8) CLAMP ((dot[3] / sum + 0.5), 0, 255); tmp_in_pos += 4; } } } /* * Create a one dimensional gaussian kernel. */ static gboolean make_gaussian_kernel (GaussBlur * gb, float sigma) { int i, center, left, right; float sum, sum2; const float fe = -0.5 / (sigma * sigma); const float dx = 1.0 / (sigma * sqrt (2 * G_PI)); center = ceil (2.5 * fabs (sigma)); gb->windowsize = (int) (1 + 2 * center); gb->kernel = g_new (float, gb->windowsize); gb->kernel_sum = g_new (float, gb->windowsize); if (gb->kernel == NULL || gb->kernel_sum == NULL) return FALSE; if (gb->windowsize == 1) { gb->kernel[0] = 1.0; gb->kernel_sum[0] = 1.0; return TRUE; } /* Center co-efficient */ sum = gb->kernel[center] = dx; /* Other coefficients */ left = center - 1; right = center + 1; for (i = 1; i <= center; i++, left--, right++) { float fx = dx * pow (G_E, fe * i * i); gb->kernel[right] = gb->kernel[left] = fx; sum += 2 * fx; } if (sigma < 0) { sum = -sum; gb->kernel[center] += 2.0 * sum; } for (i = 0; i < gb->windowsize; i++) gb->kernel[i] /= sum; sum2 = 0.0; for (i = 0; i < gb->windowsize; i++) { sum2 += gb->kernel[i]; gb->kernel_sum[i] = sum2; } #if 0 g_print ("Sigma %f: ", sigma); for (i = 0; i < gb->windowsize; i++) g_print ("%f ", gb->kernel[i]); g_print ("\n"); g_print ("sums: "); for (i = 0; i < gb->windowsize; i++) g_print ("%f ", gb->kernel_sum[i]); g_print ("\n"); g_print ("sum %f sum2 %f\n", sum, sum2); #endif return TRUE; } static void gauss_blur_set_property (GObject * object, guint prop_id, const GValue * value, GParamSpec * pspec) { GaussBlur *gb = GAUSS_BLUR (object); switch (prop_id) { case PROP_SIGMA: GST_OBJECT_LOCK (object); gb->sigma = g_value_get_double (value); GST_OBJECT_UNLOCK (object); break; default: G_OBJECT_WARN_INVALID_PROPERTY_ID (object, prop_id, pspec); break; } } static void gauss_blur_get_property (GObject * object, guint prop_id, GValue * value, GParamSpec * pspec) { GaussBlur *gb = GAUSS_BLUR (object); switch (prop_id) { case PROP_SIGMA: GST_OBJECT_LOCK (gb); g_value_set_double (value, gb->sigma); GST_OBJECT_UNLOCK (gb); break; default: G_OBJECT_WARN_INVALID_PROPERTY_ID (object, prop_id, pspec); break; } } /* Register the element factories and other features. */ gboolean gst_gauss_blur_plugin_init (GstPlugin * plugin) { /* debug category for fltering log messages */ GST_DEBUG_CATEGORY_INIT (gst_gauss_blur_debug, "gaussianblur", 0, "Gaussian Blur video effect"); return gst_element_register (plugin, "gaussianblur", GST_RANK_NONE, GST_TYPE_GAUSS_BLUR); }