$\require{mediawiki-texvc}$
  • 검색어에 아래의 연산자를 사용하시면 더 정확한 검색결과를 얻을 수 있습니다.
  • 검색연산자
검색연산자 기능 검색시 예
() 우선순위가 가장 높은 연산자 예1) (나노 (기계 | machine))
공백 두 개의 검색어(식)을 모두 포함하고 있는 문서 검색 예1) (나노 기계)
예2) 나노 장영실
| 두 개의 검색어(식) 중 하나 이상 포함하고 있는 문서 검색 예1) (줄기세포 | 면역)
예2) 줄기세포 | 장영실
! NOT 이후에 있는 검색어가 포함된 문서는 제외 예1) (황금 !백금)
예2) !image
* 검색어의 *란에 0개 이상의 임의의 문자가 포함된 문서 검색 예) semi*
"" 따옴표 내의 구문과 완전히 일치하는 문서만 검색 예) "Transform and Quantization"

특허 상세정보

Accelerated signal encoding and reconstruction using pixon method

국가/구분 United States(US) Patent 등록
국제특허분류(IPC7판) G06K-009/56    G06K-009/40   
미국특허분류(USC) 382/265; 382/205; 382/275
출원번호 US-0905528 (2001-08-22)
발명자 / 주소
출원인 / 주소
대리인 / 주소
    Brown, Martin, Haller & McClain, LLP
인용정보 피인용 횟수 : 15  인용 특허 : 7
초록

The method identifies a Pixon element, which is a fundamental and indivisible unit of information, and a Pixon basis, which is the set of possible functions from which the Pixon elements are selected. The actual Pixon elements selected from this basis during the reconstruction process represents the smallest number of such units required to fit the data and representing the minimum number of parameters necessary to specify the image. The Pixon kernels can have arbitrary properties (e.g., shape size, and/or position) as needed to best fit the data.

대표
청구항

1. In an image reconstruction process, a method for generating a kernel map for modeling an image wherein the image corresponds to a plurality of input data points on an image grid comprising a plurality of grid points, the method comprising:(a) defining a plurality of different kernel sets, each different kernel set comprising a plurality of identical kernels covering the image grid, wherein each kernel within a kernel set covers a portion of the image grid encompassing a portion of the plurality of data points so that the plurality of kernels of a kern...

이 특허를 인용한 특허 피인용횟수: 15

  1. Puetter, Richard; Yahil, Amos; Pi?a, Robert. Accelerated signal encoding and reconstruction using pixon method. USP2005056895125.
  2. Withum, Timothy O.; Kopchik, Kurt P.; Highland, Frederic; Hebbal, Supreeth; Dasch, Summer C.; Graham, Stephanie M.. Color form dropout using dynamic geometric solid thresholding. USP2010057715620.
  3. Simmons, Matthew T.; Shapiro, Michael W.. Compact type format data system and method. USP2009087574699.
  4. Vija, A. Hans; Yahil, Amos. Controlling the number of iterations in image reconstruction. USP2012018103487.
  5. Vija, Alexander Hans; Yahil, Amos. Controlling the number of iterations in image reconstruction. USP2013028380469.
  6. Vija, Alexander Hans; Yahil, Amos. Controlling the number of iterations in image reconstruction. USP2014028650014.
  7. Vija, A. Hans; Yahil, Amos. Determining a pixon map for image reconstruction. USP2011098014580.
  8. Lachine,Vladimir; Smith,Gregory Lionel; Lee,Louie. Edge adaptive image expansion and enhancement system and method. USP2008057379626.
  9. Yahil,Amos; Puetter,Richard. High speed signal enhancement using pixons. USP2006016993204.
  10. Puetter, Richard. Image compression and decompression using the PIXON method. USP2013038396313.
  11. Yahil, Amos. Method and system for statistical modeling of data using a quadratic likelihood functional. USP20180910068327.
  12. Yahil, Amos. Method to determine a pixon map in iterative image reconstruction and spectral analysis. USP2014038675983.
  13. Vija, Alexander Hans; Yahil, Amos. Reconstructing a tomographic image. USP2012048160340.
  14. Yahil,Amos; Puetter,Richard. System and method for prediction of behavior in financial systems. USP2008027328182.
  15. Oaknin, Jacob; Cohen Shwartz, Shoulamit. System for image reconstruction. USP2011027881514.