Qualcomm Incorporated

Venkatesh Hanamsagar

Joby Abraham

Nageswara Rao Vavintaparthi

Abhijeet Dey

Animesh Behera

Shridhar Prakash Patil

Yathati Sankeerth

Debarati Kundu

Disclosed are systems, apparatuses, processes, and computer-readable media to capture images with subjects at different depths of fields. For instance, a method of processing image data includes obtaining a first image captured using an image sensor with a first exposure. The method may further include obtaining a second image captured using the image sensor with a second exposure. The method may include compressing the second image based on a comparison of the second image with the first image and storing the compressed second image in a memory. The method may further include obtaining the compressed second image from the memory and decompressing the compressed second image based on a difference between the compressed second image and the first image. The method may further include generating a combined image at least in part by combining the first image and the second image.

Compression of images for generating combined images

Systems and techniques are described herein for processing frames. For example, a process can include obtaining a current frame from a sequence of frames, the current frame associated with a first bit depth resolution and a reference frame preceding the current frame associated with the first bit depth and resolution. The process can include determining a difference between a first pixel value of the current frame and a second pixel value of the reference frame, the first pixel value and the second pixel value associated with a corresponding first pixel position. The process can include outputting a first portion of the determined difference as a first output value and, based on a determination that the determined difference does not exceed a maximum magnitude of a second bit depth, outputting an indication that the determined difference does not include a second portion associated with the first pixel position.

Bandwidth efficient image processing

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Bengaluru, India

Venkatesh Hanamsagar