The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Apr. 21, 2026

Filed:

Apr. 22, 2023
Applicants:

International Institute of Information Technology, Hyderabad, Hyderabad, IN;

Indian Institute of Technology, Delhi, New Delhi, IN;

Indian Institute of Technology, Hyderabad, Sangareddy, IN;

Inventors:

C.V. Jawahar, Hyderabad, IN;

Rohit Saluja, Hyderabad, IN;

Chetan Arora, New Delhi, IN;

Vineeth N Balasubramanian, Sangareddy, IN;

Shyam Nandan Rai, Hyderabad, IN;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 5/77 (2024.01); G06T 5/73 (2024.01); G06T 7/136 (2017.01);
U.S. Cl.
CPC ...
G06T 5/77 (2024.01); G06T 5/73 (2024.01); G06T 7/136 (2017.01); G06T 2207/20076 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30192 (2013.01);
Abstract

A method for generating a derained image using a self-supervised learning model is provided. The method includes (i) processing an input image received from a user device; (ii) classifying pixels of the input image as rainy or non-rainy pixels by assigning a first value to the rainy pixels and a second value to the non-rainy pixels; (iii) generating a masked area in the input image by masking out the rainy pixels from the input image based on the rainy pixels; (iv) generating an inpainted image by filling the masked area using an image inpainting method; and (v) generating an optimized image by deraining the inpainted image and remove image artifacts and blurriness caused by the image inpainting method. The optimized image enables an improved semantic segmentation of the input image and object detection.


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