opencv/opencv
May 2025 – Mar 2026
5 Months active
Languages Used
C++CMake
Technical Skills
C++Image ProcessingPerformance OptimizationSIMD InstructionsSIMD ProgrammingComputer Vision
Madan mohan Manokar
PROFILE
Madan Mohan Manokar
Madan Mohan Manokar contributed a series of high-performance image processing optimizations to the opencv/opencv repository, focusing on accelerating core filters such as median blur, bilateral filter, and Gaussian blur. Leveraging C++ and CMake, he implemented SIMD and AVX512-based vectorization, fusing computational kernels and optimizing tail-element handling to maximize throughput on modern CPUs. His work included integrating AMD’s fast SIMD paths, enhancing both 8-bit and floating-point operations, and addressing race conditions in fixed-point algorithms. These contributions improved runtime efficiency and reliability for real-time image and video processing, demonstrating depth in performance engineering and cross-platform SIMD programming within OpenCV’s codebase.
Overall Statistics
Feature vs Bugs
83%Features
Repository Contributions
8Total
Bugs
1
Commits
8
Features
5
Lines of code
3,409
Activity Months5
Your Network
1618 peopleSame Organization
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7b30f3f5e26d48061f873d04cc7e1d1f_amdengMember
GunaShekar, AjayMember
aasbodduMember
Abdul Lateef AttarMember
Acim MaravicMember
Adam DickinMember
Pryor, AdamMember
Pryor, AdamMember
Adel JoharMember
Work History
March 2026
2 Commits • 1 Features
Mar 1, 2026March 2026 performance-focused feature delivery for opencv/opencv, centered on SIMD-based optimizations that accelerate image processing and video tasks. Implementations include refactored horizontal image flipping with SIMD and enhanced Scharr derivative computation with AVX2/AVX512 dispatch, enabling scalable SIMD paths (CV_SIMD_SCALABLE). The work aligns with performance engineering, real-time processing needs, and portability across modern CPUs.
2 Commits • 1 Features
Mar 1, 2026March 2026 performance-focused feature delivery for opencv/opencv, centered on SIMD-based optimizations that accelerate image processing and video tasks. Implementations include refactored horizontal image flipping with SIMD and enhanced Scharr derivative computation with AVX2/AVX512 dispatch, enabling scalable SIMD paths (CV_SIMD_SCALABLE). The work aligns with performance engineering, real-time processing needs, and portability across modern CPUs.
March 2026
January 2026
3 Commits • 1 Features
Jan 1, 2026January 2026 performance and quality-focused delivery for opencv/opencv. Key work includes AVX512-accelerated image filtering improvements, including Median Blur with AVX512 ICL integration and Bilateral Filter SIMD/dispatch optimizations, and a GaussianBlurFixedPoint fix to remove a race condition and prevent out-of-bounds access. These efforts increase runtime performance on AVX512-capable CPUs and improve reliability during edge-case image processing. Demonstrated expertise in SIMD, fixed-point arithmetic, CPU dispatch, and performance profiling across core image-processing kernels.
January 2026
3 Commits • 1 Features
Jan 1, 2026January 2026 performance and quality-focused delivery for opencv/opencv. Key work includes AVX512-accelerated image filtering improvements, including Median Blur with AVX512 ICL integration and Bilateral Filter SIMD/dispatch optimizations, and a GaussianBlurFixedPoint fix to remove a race condition and prevent out-of-bounds access. These efforts increase runtime performance on AVX512-capable CPUs and improve reliability during edge-case image processing. Demonstrated expertise in SIMD, fixed-point arithmetic, CPU dispatch, and performance profiling across core image-processing kernels.
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025 performance highlights for opencv/opencv: deliver Gaussian Blur optimization with SIMD and AVX512_ICL support, achieving faster image filtering on modern CPUs while reducing memory traffic. The work centers on fusing horizontal and vertical kernels for non-border (inner) regions to avoid intermediate storage and enhance throughput. Added AVX512_ICL instruction set support to expedite computation on supported platforms. This contribution was implemented via a patch by AMD (commit 691b1bdc050a6a47b72c93cf5fbed8ae1fceb418) associated with PR #27795, and aligns with our performance goals and contribution guidelines.
1 Commits • 1 Features
Sep 1, 2025September 2025 performance highlights for opencv/opencv: deliver Gaussian Blur optimization with SIMD and AVX512_ICL support, achieving faster image filtering on modern CPUs while reducing memory traffic. The work centers on fusing horizontal and vertical kernels for non-border (inner) regions to avoid intermediate storage and enhance throughput. Added AVX512_ICL instruction set support to expedite computation on supported platforms. This contribution was implemented via a patch by AMD (commit 691b1bdc050a6a47b72c93cf5fbed8ae1fceb418) associated with PR #27795, and aligns with our performance goals and contribution guidelines.
September 2025
August 2025
1 Commits • 1 Features
Aug 1, 2025August 2025 (opencv/opencv): Delivered SIMD-based optimization for the bilateral filter. Introduced vectorization across 8-bit and floating-point data, parallelizing color and spatial weight computations. Merged PR #27433 from amd:fast_bilateral_simd. Result: substantial performance gains for bilateral filtering in typical image processing workloads, enabling faster real-time applications and reduced CPU load. Demonstrated proficiency in performance-oriented engineering, cross-team collaboration with external contributors, and sustaining code quality in a performance-critical path.
August 2025
1 Commits • 1 Features
Aug 1, 2025August 2025 (opencv/opencv): Delivered SIMD-based optimization for the bilateral filter. Introduced vectorization across 8-bit and floating-point data, parallelizing color and spatial weight computations. Merged PR #27433 from amd:fast_bilateral_simd. Result: substantial performance gains for bilateral filtering in typical image processing workloads, enabling faster real-time applications and reduced CPU load. Demonstrated proficiency in performance-oriented engineering, cross-team collaboration with external contributors, and sustaining code quality in a performance-critical path.
May 2025
1 Commits • 1 Features
May 1, 2025May 2025: Delivered AVX512 dispatch optimization for OpenCV median blur in opencv/opencv, improving throughput and tail-element handling for SIMD-accelerated image processing. The feature was contributed via AMD's fast_medianblur_simd integration (PR #27299) and merged with commit 84ea77a4be59732e8d641ab24e7c46f8dc888404. No major bugs fixed this month; stability and correctness preserved.
1 Commits • 1 Features
May 1, 2025May 2025: Delivered AVX512 dispatch optimization for OpenCV median blur in opencv/opencv, improving throughput and tail-element handling for SIMD-accelerated image processing. The feature was contributed via AMD's fast_medianblur_simd integration (PR #27299) and merged with commit 84ea77a4be59732e8d641ab24e7c46f8dc888404. No major bugs fixed this month; stability and correctness preserved.
May 2025
Activity
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Quality Metrics
Correctness97.6%
Maintainability80.0%
Architecture91.2%
Performance96.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++CMake
Technical Skills
C++C++ developmentCMakeComputer VisionImage ProcessingPerformance OptimizationSIMD InstructionsSIMD OptimizationSIMD ProgrammingSIMD optimizationSIMD programmingalgorithm optimizationimage processingperformance optimizationvideo processing
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