Qualcomm Incorporated

Abhijeet Dey

Joby Abraham

Animesh Behera

Shridhar Prakash Patil

Micha Galor Gluskin

Nageswara Rao Vavintaparthi

Venkatesh Hanamsagar

Suresh Vankadara

Raghavendra Prasad Nerlige Onkarappa

Amrit Anand Amresh

Debarati Kundu

Aakil Mahendra Bapna

Vijayamanohar Nagarajan

Shrey Shailesh Gadiya

Chandan Kumar Jha

Yathati Sankeerth

Gaurav Jindal

Techniques are described herein for processing data. For instance, a process can include receiving input data by a symmetrical processing engine of two or more symmetrical processing engines coupled to an auxiliary processing engine. The process can further include receiving an indication to process the input data using a module of the auxiliary processing engine, transmitting output data to the auxiliary processing engine, receiving processed data from the auxiliary processing engine, further processing the processed data in one or more portions of a pipeline of modules of the symmetrical processing engine, and outputting the further processed data.

Auxiliary engine for hardware virtualization

Disclosed are systems, apparatuses, processes, and computer-readable media for image processing. For example, a computing device can output (e.g., transmit) a timing indicator for synchronization of a voting engine and a frame rate for processing image frames obtained by a sensor. The computing device can obtain a positive voting result from the voting engine based on the timing indicator. The computing device can increase a clock rate and a voltage for a power source shared by an image processor and at least one memory based on the positive voting result to produce an updated clock rate and an updated voltage. The computing device can apply the updated clock rate and the updated voltage to the image processor and the at least one memory.

Dynamic resource voting (DRV) enhancements for dynamic frames per second (FPS) use cases

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

This disclosure provides systems, methods, and devices for image signal processing that support compression of phase detection (PD) data. In a first aspect, a method of image processing includes receiving image data and first phase detection data corresponding to the image data; determining a first channel of the first phase detection data and a second channel of the first phase detection data; and coding the first phase detection data to determine second phase detection data by separately coding the first channel and the second channel. Other aspects and features are also claimed and described.

Phase detection data encoding techniques

Systems and techniques are provided for generating an HDR image. An example method can include obtaining a first image and a second image that has an exposure that is greater than an exposure of the first image; setting pixels of the first image that are below a minimum threshold to a minimum value and pixels of the second image that are above a maximum threshold to a maximum value; retrieving, from memory, a compressed version of the first image with the pixels set to the minimum value and a compressed version of the second image with the pixels set to the maximum value; generating a first decompressed image including the first image with the pixels set to the minimum value and a second decompressed image including the second image with the pixels set to the maximum value; and generating an HDR image based on the first and second decompressed images.

Smart high dynamic range image clamping

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Bengaluru, India

Abhijeet Dey