Praggya Garg

Title: Praggya Garg: Innovator in Image Evaluation Technology

Introduction

Praggya Garg is a prominent inventor based in San Diego, California, known for her contributions to image evaluation technologies. With a total of five patents to her name, Praggya's work focuses on enhancing the way images are analyzed and compared in various applications.

Latest Patents

Among Praggya Garg's latest innovations is a patent related to the "Evaluation of Similar Content-Based Images." This invention introduces a method that includes receiving two images, each containing distinct objects, and computing several values such as a structural similarity index measure (SSIM) value, a scale invariant feature transform (SIFT) value, and a histogram value. By analyzing these components, the method computes a similarity score to effectively assess the relationship between the images.

Another significant patent involves the "Scaled PSNR for Image Quality Assessment." This innovative approach scales the Peak Signal-to-Noise Ratio (PSNR) to a standard level from infinite decibel values, thereby providing a more accessible means of evaluating image quality. The PSNR serves as a benchmark for the maximum potential value of a signal against the noise impacting it, thus influencing overall image representation quality.

Career Highlights

Throughout her career, Praggya has worked with notable companies, including Sony Group Corporation and Sony Corporation. Her experience in these esteemed organizations has equipped her with a wealth of knowledge in the fields of imaging technology and innovation.

Collaborations

Praggya has collaborated with esteemed colleagues such as Jong Hwa Lee and Moises Tafolla, working together to push the boundaries of current imaging technologies. Their combined expertise and innovative spirit have contributed significantly to the advancements in image evaluation methods.

Conclusion

In conclusion, Praggya Garg stands out as a trailblazer in the realm of image evaluation technology. Her patents reflect a deep understanding of image analysis and a commitment to enhancing image quality assessment methods. As she continues to innovate, her work will undoubtedly leave a lasting impact on the industry.