Due to size limit of shared memory, histogram is built on
the global memory for CV_16UC1 case.

The amount of memory needed for building histogram is:

    65536 * 4byte = 256KB

and shared memory limit is 48KB typically.

Added test cases for CV_16UC1 and various clip limits.
Added perf tests for CV_16UC1 on both CPU and CUDA code.

There was also a bug in CV_8UC1 case when redistributing
"residual" clipped pixels. Adding the test case where clip
limit is 5.0 exposes this bug.

* __shfl_up_sync with proper mask value for CUDA >= 9

* BlockScanInclusive for CUDA >= 9

* compatible_shfl_up for use in integral.hpp

* Use CLAHE in cudev

* Add tests for BlockScan

Commits:
- 09837928
- 10fb88d0

Excluded changes with std::atomic (C++98 requirement)

Found via `codespell -q 3 -I ../opencv-whitelist.txt --skip="./3rdparty"`

use cv::AutoBuffer::data() to get data pointer

cuda_canny : multi stream safety (#11483)

* CUDA_ImgProc/Canny Asynchronous test

* cuda_canny : multi stream safety (1/3)

- Convert global variable canny::counter to class local variable

* cuda_canny : multi stream safety (2/3)

- Use texture objects rather than texture reference for cc >= 3.0,
  since texture reference must be declared as a static global variable
  which results in race condition when ran concurrently

* cuda_canny : multi stream safety (3/3)

- Refrain from using global variable in row_filter and column_filter
  (converts column_filter::c_kernel and row_filter::c_kernel to local
  variables)

* Fixes #11193

Found via `codespell`

Implement cv::cuda::calcHist with mask support (#8367)

* Implement cuda::calcHist with mask

* Fix documentation build warning

* Have their own step sizes for src and mask. Fix review comment.

Added a writeFormat() method to Algorithm which must be called by the
write() method of derived classes.

used BufferPool mechanism instead

* remove overloads with explicit buffer, now BufferPool is used
* added async versions for all reduce functions

use correct types for integral/sum outputs

Without limits included, several CUDA related files fail to compile with
GCC on Ubuntu:

modules/cudaimgproc/src/hough_lines.cpp:136:9: error: ‘numeric_limits’ is not a member of ‘std’

Conflicts:
	modules/core/include/opencv2/core/cuda.hpp
	modules/cudacodec/src/thread.cpp
	modules/cudacodec/src/thread.hpp
	modules/superres/perf/perf_superres.cpp
	modules/superres/src/btv_l1_cuda.cpp
	modules/superres/src/optical_flow.cpp
	modules/videostab/src/global_motion.cpp
	modules/videostab/src/inpainting.cpp
	samples/cpp/stitching_detailed.cpp
	samples/cpp/videostab.cpp
	samples/gpu/stereo_multi.cpp