diff --git a/modules/photo/include/opencv2/photo.hpp b/modules/photo/include/opencv2/photo.hpp
index ca3975f12..f48df802b 100644
--- a/modules/photo/include/opencv2/photo.hpp
+++ b/modules/photo/include/opencv2/photo.hpp
@@ -288,63 +288,6 @@ public:
 
 CV_EXPORTS_W Ptr<MergeRobertson> createMergeRobertson();
 
-class CV_EXPORTS_W Ghostbuster : public Algorithm
-{
-public:
-    CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, std::vector<float>& times, Mat response) = 0;
-};
-
-// "Ghost Detection and Removal in High Dynamic Range Images", Sidibe et al., 2009
-
-class CV_EXPORTS_W GhostbusterOrder : public Ghostbuster
-{
-public:
-    CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, std::vector<float>& times, Mat response) = 0;
-    CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst) = 0;
-
-    CV_WRAP virtual int getUnderexp() = 0;
-    CV_WRAP virtual void setUnderexp(int value) = 0;
-
-    CV_WRAP virtual int getOverexp() = 0;
-    CV_WRAP virtual void setOverexp(int value) = 0;
-};
-
-CV_EXPORTS_W Ptr<GhostbusterOrder> createGhostbusterOrder(int underexp = 20, int overexp = 240);
-
-// "Fast and Robust High Dynamic Range Image Generation with Camera and Object Movement", Grosch, 2006
-
-class CV_EXPORTS_W GhostbusterPredict : public Ghostbuster
-{
-public:
-    CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, std::vector<float>& times, Mat response) = 0;
-    CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, std::vector<float>& times) = 0;
-
-    CV_WRAP virtual int getThreshold() = 0;
-    CV_WRAP virtual void setThreshold(int value) = 0;
-
-    CV_WRAP virtual int getUnderexp() = 0;
-    CV_WRAP virtual void setUnderexp(int value) = 0;
-
-    CV_WRAP virtual int getOverexp() = 0;
-    CV_WRAP virtual void setOverexp(int value) = 0;
-};
-
-CV_EXPORTS_W Ptr<GhostbusterPredict> createGhostbusterPredict(int thresh = 10, int underexp = 20, int overexp = 240);
-
-// "Bitmap Movement Detection: HDR for Dynamic Scenes", Pece, Kautz, 2010
-
-class CV_EXPORTS_W GhostbusterBitmap : public Ghostbuster
-{
-public:
-    CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, std::vector<float>& times, Mat response) = 0;
-    CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst) = 0;
-
-    CV_WRAP virtual int getExclude() = 0;
-    CV_WRAP virtual void setExclude(int value) = 0;
-};
-
-CV_EXPORTS_W Ptr<GhostbusterBitmap> createGhostbusterBitmap(int exclude = 4);
-
 } // cv
 
 #endif
diff --git a/modules/photo/src/align.cpp b/modules/photo/src/align.cpp
index 295fea350..35c949172 100644
--- a/modules/photo/src/align.cpp
+++ b/modules/photo/src/align.cpp
@@ -263,284 +263,5 @@ Ptr<AlignMTB> createAlignMTB(int max_bits, int exclude_range, bool cut)
     return new AlignMTBImpl(max_bits, exclude_range, cut);
 }
 
-class floatIndexCmp {
-public:
-    floatIndexCmp(std::vector<float> data) :
-      data(data)
-    {
-    }
-
-    bool operator() (int i,int j) 
-    { 
-        return data[i] < data[j];
-    }
-protected:
-    std::vector<float> data;
-};
-
-class GhostbusterOrderImpl : public GhostbusterOrder
-{
-public:
-    GhostbusterOrderImpl(int underexp, int overexp) :
-      underexp(underexp),
-      overexp(overexp),
-      name("GhostbusterOrder")
-    {
-    }
-
-    void process(InputArrayOfArrays src, OutputArray dst, std::vector<float>& times, Mat response) 
-    {
-        process(src, dst);
-    }
-
-    void process(InputArrayOfArrays src, OutputArray dst)
-    {
-        std::vector<Mat> unsorted_images;
-        src.getMatVector(unsorted_images);
-        checkImageDimensions(unsorted_images);
-
-        std::vector<Mat> images;
-        sortImages(unsorted_images, images);
-
-        int channels = images[0].channels();
-        dst.create(images[0].size(), CV_8U);
-
-        Mat res = Mat::zeros(images[0].size(), CV_8U);
-
-        std::vector<Mat> splitted(channels);
-        split(images[0], splitted);
-        for(size_t i = 0; i < images.size() - 1; i++) {
-            
-            std::vector<Mat> next_splitted(channels);
-            split(images[i + 1], next_splitted);
-            
-            for(int c = 0; c < channels; c++) {
-                Mat exposed = (splitted[c] >= underexp) & (splitted[c] <= overexp);
-                exposed &= (next_splitted[c] >= underexp) & (next_splitted[c] <= overexp);
-                Mat ghost = (splitted[c] > next_splitted[c]) & exposed;
-                res |= ghost;
-            }
-            splitted = next_splitted;
-        }
-        res.copyTo(dst.getMat());
-    }
-
-    int getUnderexp() {return underexp;}
-    void setUnderexp(int value) {underexp = value;}
-
-    int getOverexp() {return overexp;}
-    void setOverexp(int value) {overexp = value;}
-
-    void write(FileStorage& fs) const
-    {
-        fs << "name" << name
-           << "overexp" << overexp
-           << "underexp" << underexp;
-    }
-
-    void read(const FileNode& fn)
-    {
-        FileNode n = fn["name"];
-        CV_Assert(n.isString() && String(n) == name);
-        overexp = fn["overexp"];
-        underexp = fn["underexp"];
-    }
-
-protected:
-    int overexp, underexp;
-    String name;
-
-    void sortImages(std::vector<Mat>& images, std::vector<Mat>& sorted)
-    {
-        std::vector<int>indices(images.size());
-        std::vector<float>means(images.size());
-        for(size_t i = 0; i < images.size(); i++) {
-            indices[i] = i;
-            means[i] = mean(mean(images[i]))[0];
-        }
-        sort(indices.begin(), indices.end(), floatIndexCmp(means));
-        sorted.resize(images.size());
-        for(size_t i = 0; i < images.size(); i++) {
-            sorted[i] = images[indices[i]];
-        }
-    }
-};
-
-Ptr<GhostbusterOrder> createGhostbusterOrder(int underexp, int overexp)
-{
-    return new GhostbusterOrderImpl(underexp, overexp);
-}
-
-class GhostbusterPredictImpl : public GhostbusterPredict
-{
-public:
-    GhostbusterPredictImpl(int thresh, int underexp, int overexp) :
-      thresh(thresh),
-      underexp(underexp),
-      overexp(overexp),
-      name("GhostbusterPredict")
-    {
-    }
-
-    void process(InputArrayOfArrays src, OutputArray dst, std::vector<float>& times, Mat response)
-    {
-        std::vector<Mat> images;
-        src.getMatVector(images);
-        checkImageDimensions(images);
-
-        int channels = images[0].channels();
-        dst.create(images[0].size(), CV_8U);
-
-        Mat res = Mat::zeros(images[0].size(), CV_8U);
-
-        Mat radiance;
-        LUT(images[0], response, radiance);
-        std::vector<Mat> splitted(channels);
-        split(radiance, splitted);
-        std::vector<Mat> resp_split(channels);
-        split(response, resp_split);
-        for(size_t i = 0; i < images.size() - 1; i++) {
-            
-            std::vector<Mat> next_splitted(channels);
-            LUT(images[i + 1], response, radiance);
-            split(radiance, next_splitted);
-            
-            for(int c = 0; c < channels; c++) {
-
-                Mat predicted = splitted[c] / times[i] * times[i + 1];
-
-                Mat low = max(thresh, next_splitted[c]) - thresh;
-                Mat high = min(255 - thresh, next_splitted[c]) + thresh;
-                low.convertTo(low, CV_8U);
-                high.convertTo(high, CV_8U);
-                LUT(low, resp_split[c], low);
-                LUT(high, resp_split[c], high);
-
-                Mat exposed = (splitted[c] >= underexp) & (splitted[c] <= overexp);
-                exposed &= (next_splitted[c] >= underexp) & (next_splitted[c] <= overexp);
-
-                Mat ghost = (low < predicted) & (predicted < high);
-                ghost &= exposed;
-                res |= ghost;
-            }
-            splitted = next_splitted;
-        }
-        res.copyTo(dst.getMat());
-    }
-
-    virtual void process(InputArrayOfArrays src, OutputArray dst, std::vector<float>& times)
-    {
-        Mat response = linearResponse(3);
-        response.at<Vec3f>(0) = response.at<Vec3f>(1);
-        process(src, dst, times, response);
-    }
-
-    CV_WRAP virtual int getThreshold() {return thresh;}
-    CV_WRAP virtual void setThreshold(int value) {thresh = value;}
-
-    int getUnderexp() {return underexp;}
-    void setUnderexp(int value) {underexp = value;}
-
-    int getOverexp() {return overexp;}
-    void setOverexp(int value) {overexp = value;}
-
-    void write(FileStorage& fs) const
-    {
-        fs << "name" << name
-           << "overexp" << overexp
-           << "underexp" << underexp
-           << "thresh" << thresh;
-    }
-
-    void read(const FileNode& fn)
-    {
-        FileNode n = fn["name"];
-        CV_Assert(n.isString() && String(n) == name);
-        overexp = fn["overexp"];
-        underexp = fn["underexp"];
-        thresh = fn["thresh"];
-    }
-
-protected:
-    int thresh, underexp, overexp;
-    String name;
-};
-
-Ptr<GhostbusterPredict> createGhostbusterPredict(int thresh, int underexp, int overexp)
-{
-    return new GhostbusterPredictImpl(thresh, underexp, overexp);
-}
-
-class GhostbusterBitmapImpl : public GhostbusterBitmap
-{
-public:
-    GhostbusterBitmapImpl(int exclude) :
-      exclude(exclude),
-          name("GhostbusterBitmap")
-    {
-    }
-
-    void process(InputArrayOfArrays src, OutputArray dst, std::vector<float>& times, Mat response)
-    {
-        process(src, dst);
-    }
-
-    void process(InputArrayOfArrays src, OutputArray dst)
-    {
-        std::vector<Mat> images;
-        src.getMatVector(images);
-        checkImageDimensions(images);
-
-        int channels = images[0].channels();
-        dst.create(images[0].size(), CV_8U);
-
-        Mat res = Mat::zeros(images[0].size(), CV_8U);
-        
-        Ptr<AlignMTB> MTB = createAlignMTB();
-        MTB->setExcludeRange(exclude);
-
-        for(size_t i = 0; i < images.size(); i++) {
-            Mat gray;
-            if(channels == 1) {
-                gray = images[i];
-            } else {
-                cvtColor(images[i], gray, COLOR_RGB2GRAY);
-            }
-
-            Mat tb, eb;
-            MTB->computeBitmaps(gray, tb, eb);
-            tb &= eb & 1;
-            res += tb;                
-        }
-        res = (res > 0) & (res < images.size());
-        res.copyTo(dst.getMat());
-    }
-
-    int getExclude() {return exclude;}
-    void setExclude(int value) {exclude = value;}
-
-    void write(FileStorage& fs) const
-    {
-        fs << "name" << name
-           << "exclude" << exclude;
-    }
-
-    void read(const FileNode& fn)
-    {
-        FileNode n = fn["name"];
-        CV_Assert(n.isString() && String(n) == name);
-        exclude = fn["exclude"];
-    }
-
-protected:
-    int exclude;
-    String name;
-};
-
-Ptr<GhostbusterBitmap> createGhostbusterBitmap(int exclude)
-{
-    return new GhostbusterBitmapImpl(exclude);
-}
-
 }