Cimpress Schweiz Gmbh

Ajay Joshi

Vikramaditya Khemka

Systems and methods for detecting crop marks depicted in digital images are disclosed. According to certain aspects, an electronic device detects a set of crop marks in a reference digital image and aligns the reference digital image with an input digital image. Based on locations of the detected crop marks as aligned to the input digital image, the electronic device detects a set of partial crop marks in the input digital image. As a result, the partial crop marks in the input digital image may be removed.

Technologies for detecting crop marks in electronic documents using reference images

Systems and methods for automatically determining and displaying salient portions of images are disclosed. According to certain aspects, an electronic device may support a design application that may apply a saliency detection learning model to a digital image, resulting in the application generating one or more salient portions of the digital image. The electronic device may generate a digital rendering of the salient portion of the image on digital models of items or products, and may enable a user to review the digital rendering. The user may also choose alternative salient portions of the digital image and/or aspect ratios for those salient portions for inclusion on a digital model of the item or product.

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Bedford, MA, United States of America

Ajay Joshi