Cambridge, MA, United States of America

Akshay Soni


Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2016

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1 patent (USPTO):Explore Patents

Title: Akshay Soni: Innovator in Image Denoising Technology

Introduction

Akshay Soni is a prominent inventor based in Cambridge, MA (US). He has made significant contributions to the field of image processing, particularly in the area of denoising images affected by nonstationary noise. His innovative approach has garnered attention in both academic and industrial circles.

Latest Patents

Akshay Soni holds a patent for his work titled "Denoising of images with nonstationary noise." This patent describes a method where an input image is denoised by first constructing a pixel-wise noise variance map from the input image. The noise has spatially varying variances, and the input image is partitioned into patches using this noise variance map. An intermediate image is determined from the patches, and collaborative filtering is applied to each patch in the intermediate image using the noise variance map to produce filtered patches. Finally, the filtered patches are projected to create an output image. This innovative technique enhances the quality of images significantly.

Career Highlights

Akshay Soni is currently employed at Mitsubishi Electric Research Laboratories, Inc. His work at this esteemed organization allows him to further develop and refine his inventions in image processing. His contributions have been instrumental in advancing the capabilities of image denoising technologies.

Collaborations

One of his notable coworkers is Fatih M Porikli, with whom he collaborates on various projects related to image processing and computer vision. Their combined expertise has led to advancements in the field.

Conclusion

Akshay Soni is a key figure in the realm of image denoising technology, with a patent that showcases his innovative approach to handling nonstationary noise in images. His work continues to influence the field and improve image processing techniques.

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