Add nvJPEG GPU-accelerated JPEG encoding with NVIDIA auto-detection

BmpToJpeg was slow (~25-45ms for 4K) due to two bottlenecks:
1. cv::imdecode for BMP parsing (unnecessary for uncompressed BMP)
2. TurboJPEG CPU encoding (~11ms for 4K)

Fix 1: Zero-copy BMP parsing — parse header directly and wrap pixel
data in cv::Mat without allocation or copy. Eliminates ~47MB of heap
allocations per 4K frame.

Fix 2: NvJpegCompressor class using nvJPEG hardware encoder on NVIDIA
GPUs (~1-2ms for 4K). Integrated into CompressJpegToString so all 5
JPEG encoding callsites benefit automatically. Reusable GPU buffer
avoids per-frame cudaMalloc/cudaFree. Silent fallback to TurboJPEG
on Intel/AMD or if nvJPEG fails.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

modules/ANSCV/ANSOpenCV.h

@@ -34,16 +34,35 @@ namespace ANSCENTER
     public:
         TurboJpegCompressor();
 		~TurboJpegCompressor() noexcept;
-        // Delete copy constructor and assignment operator
         TurboJpegCompressor(const TurboJpegCompressor&) = delete;
         TurboJpegCompressor& operator=(const TurboJpegCompressor&) = delete;
-        // Your original logic with minimal optimizations
 		[[nodiscard]] std::string compress(const cv::Mat& image, int quality);
     private:
 		void* _handle = nullptr;
         unsigned char* _buffer = nullptr;
         unsigned long _bufferSize = 0;
     };
+
+	// GPU-accelerated JPEG encoder using nvJPEG (NVIDIA only).
+	// Falls back silently if init fails or on non-NVIDIA hardware.
+	class NvJpegCompressor {
+	public:
+		NvJpegCompressor();
+		~NvJpegCompressor() noexcept;
+		NvJpegCompressor(const NvJpegCompressor&) = delete;
+		NvJpegCompressor& operator=(const NvJpegCompressor&) = delete;
+		[[nodiscard]] std::string compress(const cv::Mat& image, int quality);
+		[[nodiscard]] bool isValid() const noexcept { return _valid; }
+	private:
+		void cleanup() noexcept;
+		bool            _valid = false;
+		void*           _nvHandle = nullptr;      // nvjpegHandle_t
+		void*           _encState = nullptr;      // nvjpegEncoderState_t
+		void*           _encParams = nullptr;     // nvjpegEncoderParams_t
+		void*           _stream = nullptr;        // cudaStream_t
+		unsigned char*  _gpuBuffer = nullptr;     // reusable device memory
+		size_t          _gpuBufferSize = 0;
+	};
     /// <summary>
 	/// // ANSOPENCV class provides various image processing functionalities using OpenCV and ANS Center SDK.
     /// </summary>