Color image--Image enhancement Image Smoothing

Study Dip 71st Day
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The opening crap.

Recently, the number of blogs has become more and more visits, although the purpose is not to how many visits, but look at the accumulation of knowledge a little, and some people agree that the mood is quite good.

Algorithm principle

To smooth the grayscale image of the article:
1, mean value, Gaussian smoothing
2. Bilateral filtering
3. Median filter

There are two kinds of algorithms used in color image, one is processing the RGB all components separately, then merging the processed components to get the color image. The other is the I component of HSI processing, the same can be smoothed, the color image smoothing here is just the simplest introduction, if you want to write a beautiful 美图秀秀, need to find a few papers to learn.

Code

/********************************************************************************************************** ***********/voidSmoothrgb (RGB *src,rgb *dst,intWidthintHeightintM_width,intM_height,DoublePARAM1,DoubleParam2,intSmooth_type) {Double*chanel_r= (Double*) malloc (sizeof (Double) *width*height);Double*chanel_g= (Double*) malloc (sizeof (Double) *width*height);Double*chanel_b= (Double*) malloc (sizeof (Double) *width*height);Double*chanel_r_dst= (Double*) malloc (sizeof (Double) *width*height);Double*chanel_g_dst= (Double*) malloc (sizeof (Double) *width*height);Double*chanel_b_dst= (Double*) malloc (sizeof (Double) *width*height); Split (SRC, chanel_r, Chanel_g, chanel_b, width, height);Switch(Smooth_type) { Casesmooth_gaussian:{Gaussianfilter (Chanel_r, chanel_r_dst, width, height, m_width, m_height, param1);            Gaussianfilter (Chanel_g, chanel_g_dst, width, height, m_width, m_height, param1); Gaussianfilter (Chanel_b, chanel_b_dst, width, height, m_width, m_height, param1); Break; } Casesmooth_median:{Medianfilter (Chanel_r, chanel_r_dst, width, height, m_width, m_height);            Medianfilter (Chanel_g, chanel_g_dst, width, height, m_width, m_height); Medianfilter (Chanel_b, chanel_b_dst, width, height, m_width, m_height); Break; } Casesmooth_bilateral:{Bilateralfilter (Chanel_r, chanel_r_dst, width, height, m_width, m_height, param1, param2);            Bilateralfilter (Chanel_g, chanel_g_dst, width, height, m_width, m_height, param1, param2); Bilateralfilter (Chanel_b, chanel_b_dst, width, height, m_width, m_height, param1, param2); Break; } Casesmooth_mean:{Meanfilter (Chanel_r, chanel_r_dst, width, height, m_width, m_height);            Meanfilter (Chanel_g, chanel_g_dst, width, height, m_width, m_height); Meanfilter (Chanel_b, chanel_b_dst, width, height, m_width, m_height); Break; }default: Break;    } Merge (Chanel_r_dst, CHANEL_G_DST, CHANEL_B_DST, DST, width, height);    Free (chanel_r);    Free (CHANEL_G);    Free (chanel_b);    Free (CHANEL_R_DST);    Free (CHANEL_G_DST); Free (CHANEL_B_DST);}/********************************************************************************************************** ***********/voidSMOOTHHSI (HSI *src,hsi *dst,intWidthintHeightintM_width,intM_height,DoublePARAM1,DoubleParam2,intSmooth_type) {Double*chanel_i= (Double*) malloc (sizeof (Double) *width*height);Double*chanel_i_dst= (Double*) malloc (sizeof (Double) *width*height); Split (SRC, null, NULL, chanel_i, width, height);Switch(Smooth_type) { Casesmooth_gaussian:{Gaussianfilter (chanel_i, chanel_i_dst, width, height, m_width, m_height, param1); Break; } Casesmooth_median:{Medianfilter (chanel_i, chanel_i_dst, width, height, m_width, m_height); Break; } Casesmooth_bilateral:{Bilateralfilter (chanel_i, chanel_i_dst, width, height, m_width, m_height, param1, param2); Break; } Casesmooth_mean:{Meanfilter (chanel_i, chanel_i_dst, width, height, m_width, m_height); Break; }default: Break; } for(intI=0; i<width*height;i++) {dst[i].c1=src[i].c1;        DST[I].C2=SRC[I].C2;    Dst[i].c3=chanel_i_dst[i];    } free (chanel_i); Free (CHANEL_I_DST);}/********************************************************************************************************** ***********/

Processing effect

Original:

RGB Tri-Channel 5x5 mean filter:

RGB three-channel 5x5 Gaussian filter:

RGB Tri-Channel 5x5 bilateral filtering:

RGB Tri-Channel 5x5 median filter:

HSI color space I-channel 5x5 mean filter:

HSI color space I-Channel 5x5 Gaussian filter:

HSI Color Space I channel 5x5 bilateral filtering:

HSI Color space I Channel 5x5 median filter:

Summarize

Because it is the algorithm from the grayscale image transplant, so the specific principle of no nonsense.
Cond..

Color image--Image enhancement Image Smoothing