Samsung Electronics Co., Ltd.

Seoul National University

Snu Rdb Foundation

Myung Joo Kang

Yang Ho Cho

Hyun Seok Seo

Myung Geun Song

Deokyoung Kang

Sang Yeon Kim

Jae Woong Choi

Myoung Su Cho

Jin Je Park

Seung Won Jeong

Byeong Eon Lee

Young Jin Koh

Dong Jun Woo

Geon Woo Kim

An aberration correction method and apparatus. The apparatus includes at least one processor, and an input/output unit configured to receive an captured image, wherein the processor is configured to initialize a first matrix or a second matrix by reducing a matrix of a point spread function (PSF) of a lens included in a capturing device used to capture the captured image, iteratively perform an aberration removal and a noise removal based on the captured image and the first matrix or the second matrix, and output a final original image as a result of the iteratively performing. Here, the first matrix is a matrix obtained by reducing the number of indices indicating light arrival points of the matrix of the PSF, and the second matrix is a matrix obtained by reducing the number of indices corresponding to light arrival points of a transposed matrix of the PSF.

Method and apparatus for correction of aberration

A method for compressing time series data includes: reading original data including time series data; measuring a unit of the original data; determining a threshold for determining a range allowing for a difference between compressed data and the original data; performing longest distance downsampling to preserve an abnormal point of the original data; storing a start point and an end point of the original data; performing drop-out on the longest distance downsampling result, wherein the drop-out is not performed for the start point and the end point; and if the number of values of the original data is smaller than &#x3b1; times the original data length, storing at least one of the values of the original data as a reference point, wherein &#x3b1; is a real number having a value between 0 and 1.

Method for compressing and restoring time series data

Growing community of inventors

Seoul, South Korea

Myung Joo Kang