Method and system for improving scanned image detail
원문보기
IPC분류정보
국가/구분
United States(US) Patent
등록
국제특허분류(IPC7판)
G06K-015/00
G06K-009/40
출원번호
US-0960239
(2001-09-21)
발명자
/ 주소
Edgar,Albert D.
출원인 / 주소
Eastman Kodak Company
대리인 / 주소
Buskow Law Group
인용정보
피인용 횟수 :
3인용 특허 :
122
초록▼
Methods are provided for generating a dynamic image mask for improving image detail in a digital image. An electronic representation of an image is scanned. A dynamic image mask is generated from the electronic representation of the image. The dynamic image mask has sharp edges which are representat
Methods are provided for generating a dynamic image mask for improving image detail in a digital image. An electronic representation of an image is scanned. A dynamic image mask is generated from the electronic representation of the image. The dynamic image mask has sharp edges which are representative of rapidly changing boundaries in the original image and blurred regions in less rapidly changing areas. The dynamic image mask can be applied to the electronic representation of the original image to improve image detail by altering the image contrast and the grayscale contrast.
대표청구항▼
What is claimed is: 1. A method of generating a dynamic image mask comprising: scanning an image to produce a digital original image comprised of a plurality of pixels corresponding to a spatial location in the image, wherein each pixel includes an original value corresponding to a characteristic o
What is claimed is: 1. A method of generating a dynamic image mask comprising: scanning an image to produce a digital original image comprised of a plurality of pixels corresponding to a spatial location in the image, wherein each pixel includes an original value corresponding to a characteristic of the image; and calculating a dynamic image mask value for each pixel by averaging the original value of a pixel with only the original values of the pixels proximate that pixel having original values lower than a threshold sharpness. 2. The method of claim 1, wherein scanning an image comprises scanning a film image. 3. The method of claim 1, wherein scanning an image comprises scanning a photographic print. 4. The method of claim 1, wherein the original value corresponding to a characteristic of the image comprises an intensity value corresponding to a color. 5. The method of claim 1, wherein the original value corresponding to a characteristic of the image comprises an intensity value corresponding to luminance. 6. The method of claim 1, wherein the original value corresponding to a characteristic of the image comprises an intensity value corresponding to range of frequencies. 7. The method of claim 1, wherein averaging the original value of a pixel with only the original values of the pixels proximate that pixel having original values less than a sharpness threshold comprises averaging the original value of a pixel with only the weighted original values of the pixels proximate that pixel having original values less than a sharpness threshold. 8. The method of claim 7, wherein the weighted original values are determined according to the following formula: wherein pixelN is the value of the pixel being weighed, centerpixel is the value of a central pixel, and wherein Gain is the threshold sharpness. 9. The method of claim 1, wherein the original values used to calculate the difference less than the sharpness threshold correspond to different characteristics than the original values used in averaging. 10. The method of claim 1, wherein calculating a dynamic image mask value includes performing a pyramidal decomposition on the original image. 11. The method of claim 1, wherein the proximity of the pixels used to calculate the dynamic image mask value can be varied by a user. 12. The method of claim 1, wherein the sharpness threshold can be varied by a user. 13. A method of generating an image mask comprising: scanning an image to produce a digital original image; generating a decimated representation of the original image; applying a blurring algorithm to form a blurred representation of the decimated representation, wherein the blurred representation includes a plurality of pixels having varying values to form sharp edges representative of rapidly changing boundaries in the decimated image and less sharp regions corresponding to regions of less rapidly changing values in the decimated image; and combining the blurred representation with the decimated representation. 14. The method of claim 13, wherein the combination of the blurred representation with the decimated representation is used to generate an image mask. 15. The method of claim 13, wherein a plurality of decimated images are generated to form sequential levels in a pyramidal decomposition formation, and a sequential level is formed by decimating the image of the current level. 16. The method of claim 13, wherein image detail is arranged over an area having a particular radius, and the blurring algorithm is capable of blurring detail found in the original image over a radius proportional to the particular radius in which the image detail is arranged. 17. The method of claim 13, wherein the blurring algorithm is performed on decimated representations of a plurality of levels of the pyramidal decomposition formation, prior to forming the image of the next level. 18. The method of claim 13, wherein the value of a pixel in the blurred representation is dependent upon a contrast between a corresponding pixel in the decimated image and pixels proximate to the corresponding pixel. 19. The method of claim 13, wherein the value of a pixel in the blurred representation is dependent upon a rate of change in contrast between a corresponding pixel in the decimated image and pixels proximate to the corresponding pixel. 20. The method of claim 13, wherein the blurring algorithm includes averaging the value of a central pixel corresponding to the pixels in the blurred representation with weighted values of a plurality of neighboring pixels. 21. A method for enhancing a scanned image comprising: scanning an image to produce a digital original image comprised of a plurality of pixels corresponding to a spatial location in the image, wherein each pixel includes an original value corresponding to a characteristic of the image; calculating a dynamic image mask value for each pixel by averaging the original value of a pixel with the original values of the pixels proximate that pixel having original values lower than a threshold sharpness; and applying the dynamic image mask value to the original value for each corresponding pixel using a mathematical function to produce an enhanced scanned image. 22. The method of claim 21, wherein scanning an image comprises scanning a transparency based image. 23. The method of claim 21, wherein scanning an image comprises scanning a reflective based image. 24. The method of claim 21, wherein the original value corresponding to a characteristic of the image comprises an intensity value corresponding to a color. 25. The method of claim 21, wherein the original value corresponding to a characteristic of the image comprises an intensity value corresponding to range of frequencies. 26. The method of claim 21, wherein averaging the original value of a pixel with only the original values of the pixels proximate that pixel having original values less than a sharpness threshold comprises averaging the original value of a pixel with only the weighted original values of the pixels proximate that pixel having original values less than a sharpness threshold. 27. The method of claim 26, wherein the weighted original values are determined according to the following formula: wherein pixelN is the value of the pixel being weighed, centerpixel is the value of a central pixel, and wherein Gain is the threshold sharpness. 28. The method of claim 21, wherein the original values used to calculate the difference less than the sharpness threshold correspond to different characteristics than the original values used in averaging. 29. The method of claim 21, wherein calculating a dynamic image mask value includes performing a pyramidal decomposition on the original image. 30. The method of claim 21, wherein the mathematical function comprises division. 31. The method of claim 21, wherein the mathematical function comprises: wherein OUT is the value of the pixel being calculated in the enhanced scanned image, IN is the value of the relative pixel in the original image, and MASK is the value of the relative pixel in the dynamic image mask. 32. The method of claim 21, further comprising performing histogram leveling to the enhanced scanned image. 33. The method of claim 21, wherein the enhanced scanned image includes an image contrast and a grayscale contrast. 34. The method of claim 33, wherein the image contrast and the grayscale contrast can be controlled independently of each other. 35. The method of claim 21, wherein the dynamic image mask value may be proportionally varied by a user. 36. A scanner system comprising: a light source operable to illuminate an image disposed within a media; a sensor system operable to measure the illumination from the image and produce electronic signals; a processor operable to receive the electronic signals and produce image values for each pixel; and a memory media having software stored thereon, wherein the software is operable to: calculate a dynamic image mask value for each pixel by averaging the image value of a pixel with the image values of the pixels proximate that pixel having image values lower than a threshold sharpness; and apply the dynamic image mask value to the image value for each corresponding pixel using a mathematical function to produce an enhanced scanned image. 37. The scanner system of claim 36, wherein the sensor system operates to measure the illumination transmitted through the image. 38. The scanner system of claim 36, wherein the sensor system operates to measure the illumination reflected from the image. 39. The scanner system of claim 36, further comprising a printer operable to print the enhanced scanned image. 40. The scanner system of claim 39, wherein the printer comprises a photographic printer. 41. The scanner system of claim 39, wherein the printer comprises an ink type printer.
연구과제 타임라인
LOADING...
LOADING...
LOADING...
LOADING...
LOADING...
이 특허에 인용된 특허 (122)
Elton Peter J. (Cheshire GB2) Clarke John C. (Cheshire GB2) Cawse John L. (Cheshire GB2) Littler George (Cheshire GB2) Wigglesworth Andrew (Bucks GB2) Herring Peter J. (Bucks GB2), Antistatic backing for photographic roll film.
Stanfield James S. (900 Euclid Santa Monica CA 90403) Trester Paul W. (2312 9th St. Olivenhain CA 92024), Apparatus and method for repairing elongated flexible strips having damaged sprocket feed holes along the edge thereof.
Glanville Thomas W. (Churchville NY) Hall Douglas O. (Canandaigua NY) Munson Jan M. (Ontario NY) Muller Bruce R. (Rochester NY) Sherburne David G. (Ontario NY), Apparatus for processing photosensitive material.
Stanfield James S. (1236 Amherst St. ; Apt. No. 1 Los Angeles CA 90025) Trester Paul W. (2312 Ninth St. Olivenhain CA 92024), Apparatus for repairing elongated flexible strips having damaged sprocket feed holes along the edge thereof.
Mehlo Herwig,DEX ; Prois Karl-Heinz,DEX ; Raasch Michael,DEX, Apparatus for scanning and digitizing photographic image objects and method of operating said apparatus.
Lahcanski Tomi (Rochester NY) Hochreiter Eric P. (Bergen NY) Thomas James M. (Macedon NY) Dobbins D. Mathew (Rochester NY), Clamping arrangement for film scanning apparatus.
Keith Alexander F. ; Schwartz Edward L. ; Zandi Ahmad ; Boliek Martin ; Gormish Michael J., Compression/decompression using reversible embedded wavelets.
Ikeda Masahide (Kyoto JPX) Atoji Hitomi (Kyoto JPX) Ohara Takashi (Shiga JPX) Mizuno Yuuzi (Kyoto JPX), Device for detachably attaching a film onto a drum in a drum type picture scanning recording apparatus.
Capitant Patrice (Los Altos CA) Uenaka Kathlynn (San Jose CA) Carlucci John (Sunnyvale CA) Collier David (Gilroy CA), Digital color correction system having gross and fine adjustment modes.
Pauli Myron R. (Vienna VA) Katz Garry R. (Lanham MD) Fraedrich Douglas (Alexandria VA) Inderhees John (Cincinnati OH) Nordmeyer Daniel (Beanecreek OH), Dual waveband signal processing system.
Kurtz Andrew F. (Rochester NY) Kennel Glenn L. (Williamson NY) Snider David J. (Spencerport NY), Film scanner illumination system having an automatic light control.
Metcalfe James Robert,AUX ; Long Timothy Merrick,AUX ; Politis George,AUX, Image filtering method and apparatus with interpolation according to mapping function to produce final image.
Yamakawa Shinji,JPX ; Noguchi Koichi,JPX ; Wada Shinichiro,JPX, Image reading apparatus for correct positioning of color component values of each picture element.
Haruki Toshinobu (Shijonawate JPX) Kikuchi Kenichi (Osaka JPX) Takuma Masao (Toyonaka JPX), Image sensing apparatus having automatic iris function of automatically adjusting exposure in response to video signal.
Vachtsevanos George J. ; Dar Iqbal M. ; Newman Kimberly E. ; Sahinci Erin, Inspection system and method for bond detection and validation of surface mount devices.
Cosgrove Patrick A. (Honeoye Falls NY) Mitch John (Webster NY) Niedzielski Mark (Fairport NY), Iterative predictor-based detection of image frame locations.
Shin Euy-Sik Eugene ; Morgan Roger J. ; Drzal Lawrence T., Method and apparatus for determining and quantifying resistance to scuff damage of a film adhered on a panel.
Sugimoto Kenji (Kyoto JPX) Sugimoto Hiroaki (Kyoto JPX) Kitagawa Masaru (Kyoto JPX), Method and apparatus for drying a substrate having a resist film with a miniaturized pattern.
Burt Peter J. ; Irani Michal ; Hsu Stephen Charles ; Anandan Padmanabhan ; Hansen Michael W., Method and apparatus for performing mosaic based image compression.
Kyser Edmond L. (Portola Valley CA) Sears Stephan B. (Belmont CA), Method and apparatus for recording with writing fluids and drop projection means therefor.
Bullock Michael L. ; Childers Winthrop D ; Hirst Bartley Mark ; Stephens ; Jr. Ronald D ; Miquel Antoni Gil,ESX, Method and apparatus for storing information on a replaceable ink container.
Giorgianni Edward J. (Rochester NY) Madden Thomas E. (East Rochester NY), Method and associated apparatus for forming image data metrics which achieve media compatibility for subsequent imaging.
Koeng Frederick R. (Rochester NY) Giorgianni Edward J. (Rochester NY), Method and means for calibration of photographic media using pre-exposed miniature images.
Hobbs Philip C. D. (Briarcliff Manor NY) Holmes Steven (Burlington VT) Jackson Robert (Millbrook NY) Shaw Jerry C. (Ridgefield CT) Sturtevant John L. (Essex VT) van Kessel Theodore G. (Millbrook NY), Method for controlling a line dimension arising in photolithographic processes.
Giapis Konstantinos P. (Athens NJ GRX) Gottscho Richard A. (Maplewood NJ) Green Christian A. (Long Valley NJ), Method for monitoring photoresist latent images.
Evans Gareth B. (Potten End GB2) Rider Christopher B. (Mitcham Surrey GB2) Simons Michael J. (Eastcote GB2), Methods for the retrieval and differentiation of blue, green and red exposure records of the same hue from photographic.
Simons Michael J. (Middlesex GB2), Photographic elements for producing blue, green, and red exposure records of the same hue and methods for the retrieval.
Skye David A. (Harpenden GBX) Earle Anthony (Harrow Weald GBX) Taylor Nicholas J. (Harrow Weald GBX) Ward Paul C. (Watford GBX), Photographic processing apparatus.
Simons Michael J. (Eastcote NY GBX) Sutton James E. (Rochester NY), Process for the extraction of spectral image records from dye image forming photographic elements.
Pforr Rainer (Wilsele BEX) Wittekoek Steve (Bergeyk NLX) Seltmann Rolf (Dresden DEX), System for detecting a latent image using an alignment apparatus.
Kwon Heemin (Pittsford NY) Liang Jeanine T. (Rochester NY), Unsharp masking using center weighted local variance for image sharpening and noise suppression.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.