公开(公告)号：US09383677B2

公开(公告)日：2016-07-05

申请号：US14064365

申请日：2013-10-28

Applicant: Samsung Electronics Co., Ltd.

Inventor： Jun Hee Lee ,  Byeong No Jeong ,  Jong Won Han

IPC: G03G15/06 ,  G03G15/08 ,  G03G15/00

CPC classification number: G03G15/0812 ,  G03G15/065 ,  G03G15/55

Abstract: An image forming apparatus and a control method for the same, which ensure acquisition of a high-quality image by controlling physical-states of toner on a developer roller based on sensed variation in states of internal components of a developer cartridge, and which enable sensing and determination of the lifespan of the developer cartridge, is provided. The control method for the image forming apparatus includes applying a current detection bias to a developer roller blade of a developer cartridge, detecting the magnitude of current of the developer roller blade when the current detection bias is applied to the developer roller blade, and variably controlling a developer cartridge bias to be applied to the developer cartridge for image formation based on the detected magnitude of current of the developer roller blade, so as to allow a target magnitude of constant current to flow through the developer roller blade during image formation.

Abstract translation: 一种图像形成装置及其控制方法，其基于感测到的显影剂盒的内部部件的状态的变化，通过控制显影辊上的调色剂的物理状态来确保获取高质量的图像，并且能够感测 并确定显影剂盒的使用寿命。 图像形成装置的控制方法包括将电流检测偏压施加到显影剂盒的显影辊刮板上，当对显影辊刮刀施加电流检测偏压时检测显影辊叶片的电流大小，并且可变地控制 基于检测到的显影辊叶片的电流的大小，将显影剂盒偏压施加到用于图像形成的显影剂盒，以便在图像形成期间允许恒定电流的目标大小流过显影辊叶片。

公开(公告)号：US20250159232A1

公开(公告)日：2025-05-15

申请号：US18654604

申请日：2024-05-03

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Paul OH ,  Seung Hoon Jee ,  Young Hun Sung ,  Ung Yeop Yang ,  Do Kwan Oh ,  Jun Hee Lee ,  Dong Won Jang ,  Jong Seong Choi ,  Chan Sol Hwang

IPC: H04N19/513 ,  G06V10/82 ,  H04N19/117 ,  H04N19/124 ,  H04N19/176 ,  H04N19/18 ,  H04N19/91

Abstract: An image encoding apparatus may include a memory storing one or more instructions; and a processor configured to execute the one or more instructions to: obtain an initial search position from a student neural network that has been trained through a knowledge distillation from a teacher neural network by inputting a current frame and a reference frame to the student neural network; and perform motion estimation based on the initial search position.