Tata Consultancy Services Limited

Ashley Varghese

Balamuralidhar Purushothaman

Jayavardhana Rama Gubbi Lakshminarasimha

Shailesh Shankar Deshpande

Angshul Majumdar

Akshaya Ramaswamy

Karthik Seemakurthy

Sandeep Nellyam Kunnath

Sandeep Nk

Mariaswamy Girish Chandra

Lakshminarasimha Jayavardhana Rama Gubbi

Sandee Nellyam Kunnath

This disclosure relates generally to image processing, and more particularly to method and system for image reconstruction using deep dictionary learning (DDL). The system collects the degraded image as test image and processes the test image to extract sparse features from the test image, at different levels, using dictionaries. The extracted sparse features and data from the dictionaries are used by the system to reconstruct the HR image corresponding to the test image.

Method and system for solving inverse problems in image processing using deep dictionary learning (DDL)

The disclosure herein generally relate to scene change detection, and, more particularly, to use of Unmanned Vehicle (UV) to inspect a scene and perform a scene change detection using UVs. When a UV performs visual inspection of an area or an object, due to various factors, such as but not limited to environmental factors, and movement of object and/or the UV, image of the area/object captured by the drone lacks clarity, which in turn makes detection of any object a difficult task. The UV disclosed herein uses a multi scale super pixel technique for visual change detection, in order to solve the aforementioned issues. In an embodiment, the UV captures an image, identifies a reference image that matches the captured image, and generates a change map. The multi-scale super pixel analysis is then performed on this change map to detect changes between the captured image and the reference image.

Method and system for visual change detection using multi-scale analysis

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Bengaluru, India

Ashley Varghese