Soma P

Seeking new opportunities to leverage transferable skills developed in high-tech engineering environment. Proficient in circuit design, project management, and problem-solving with strong focus on innovation and efficiency. Aiming to apply these skills in new field to drive impactful results.

• A pixel-by-pixel approach for a single image de-hazing system and its effectiveness is has been verified with simulation results. Later, implemented on TMS 320C6748 DSP Processor.
• Contrast-enhanced image/video de-hazing techniques for real-time applications has been developed. Prototyping on Jetson Nano and Raspberry Pi has been demonstrated. The performance is observed and evaluated with real-time videos with a frame rate of 24 FPS (Frames per Second) without any noticeable delay from input to output.
• YCbCr color model has been employed to reduce the memory requirements. As the RGB color space always requires considerable amount of memory to store. The PL part has been implemented using IP cores, and its application code has been written in Xilinx SDK. Finally, validated on Zynq 702 FPGA.

• Marie Sklodowska-Curie Actions COFUND Research recipient.
• Reviewer of two papers in Circuits Systems and signal Processing (CSSP) SCI Indexed journal.
• Reviewer of a paper in International Journal of Electrical and Computer Engineering (IJECE).
• Qualified in Graduate Aptitude Test in Engineering (GATE-2020) an all-India level test.

• Soma, P., Yang, X., Chang, J. et al., Enhanced collapsible linear blocks for arbitrary sized image super-resolution., Multimed Tools Appl, 84, 11409-11426, 2025, https://doi.org/10.1007/s11042-024-19292-8
• Prathap Soma, Ravi Kumar Jatoth, Implementation of a Novel, Fast and Efficient Image De-Hazing Algorithm on Embedded Hardware Platforms., Springer Journal, Circuits Systems and Signal Processing, 2020, https://doi.org/10.1007/s00034-020-01517-4
• Prathap Soma, Ravi Kumar Jatoth and Hathiram Nenavath, Fast and Memory Efficient Dehazing technique for real time computer vision applications, Springer Journal, SN Applied Sciences, 2, 454, 2020, https://doi.org/10.1007/s42452-020-2254-x
• Prathap Soma, Ravi Kumar Jatoth, An Efficient and Contrast Enhancement Video Dehazing based on transmission estimation using HSL color model., Springer Journal, The Visual Computer, 2020, https://doi.org/10.1007/s00371-021-02132-3
• Single image dehazing system on Zynq-706 FPGA for Boarder Security Force, India International Science Festival 2019, 2019-11-05, Kolkata
• Implementation of Single image Histogram Equalization on ZYNQ FPGA, International Conference on Communications, Signal Processing and VLSI (IC2SV 2019), 2019-09-28, NIT Warangal
• Hardware implementation issues on image processing algorithms, IEEE International Conference on Computing Communication and Automation 2018 ICCCA 2018, 2018-12-14, NCR New Delhi, India
• Implementation of Single Image Dehazing System on DSP TMS320C6748 Processor, International Conference on Soft Computing: Theories and Applications 2018 (SoCTA'18), 2018-12-21, NIT Jalandhar