U.S. patents available from 1976 to present.
U.S. patent applications available from 2005 to present.

Text and image sharpening of JPEG compressed images in the frequency domain

Patent 5850484 Issued on December 15, 1998. Estimated Expiration Date: Icon_subject September 30, 2017. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.

Patent References

Block quantizer for transform coding
Patent #: 4776030
Issued on: 10/04/1988
Inventor: Tzou

Digital image compression and transmission system visually weighted transform coefficients
Patent #: 4780761
Issued on: 10/25/1988
Inventor: Daly ,   et al.

Adaptive zonal coder
Patent #: 5063608
Issued on: 11/05/1991
Inventor: Siegel

Image data coding apparatus and coding method
Patent #: 5073820
Issued on: 12/17/1991
Inventor: Nakagawa, et al.

Image compression technique with regionally selective compression ratio
Patent #: 5333212
Issued on: 07/26/1994
Inventor: Ligtenberg

Image data compressing apparatus
Patent #: 5410352
Issued on: 04/25/1995
Inventor: Watanabe

Image processing method and device for the same
Patent #: 5465164
Issued on: 11/07/1995
Inventor: Sugiura, et al.

Encoding and decoding video signals using adaptive filter switching criteria Patent #: 5488570
Issued on: 01/30/1996
Inventor: Agarwal

Inventors

Application

No. 940695 filed on 09/30/1997

US Classes:

382/250, Discrete cosine or sine transform375/240.02, Adaptive375/240.2, Discrete cosine382/239, Adaptive coding (i.e., changes based upon history, activity, busyness, etc.)382/251Quantization

Examiners

Primary: Couso, Jose L.
Assistant: Bella, Matthew C.

Foreign Patent References

  • 0444884A2 EP. 02/13/1991
  • 0513520A2 EP 04/13/1992
  • 0593159A2 EP 09/13/1993
  • 07087491 JP 03/13/1995
  • 07143343 JP 06/13/1995

International Class

G06K 009/36

Abstract

The text and image enhancing technique according to the invention is integrated into the decoding or inverse quantization step that is necessarily required by the JPEG standard. The invention integrates the two by using two different quantization tables: a first quantization table (QE) for use in quantizing the image data during the compression step and a second quantization table used during the decode or inverse quantization during the decompression process. The second quantization table QD is related to the first quantization table according to a predetermined function of the energy in a reference image and the energy in a scanned image. The energy of the reference image lost during the scanning process, as represented by the energy in the scanned image, is restored during the decompression process by appropriately scaling the second quantization table according to the predetermined function. The difference between the two tables, in particular the ratio of the two tables, determines the amount of image enhancing that is done in the two steps. By integrating the image enhancing and inverse quantization steps the method does not require any additional computations than already required for the compression and decompression processes.

Other References

  • G. B. Beretta et al., "Experience with the New Color Facsimile Standard", ISCC Annual Meeting, Apr. 23-25, 1995, pp. 1-7
  • Albert J. Ahumada, Jr. et al., "Luminance-Model-Based DCT Quantization for Color Image Comression", Human Vision, Visual Processing, and Digital Display III, 1666, 365-374, SPIE, 1992
  • Kenneth R. Alexander et al., "Spatial-Frequency Characteristics of Letters Identification", J. Opt. Soc. Am. A, 11,9,2375-2382, 1994
  • Wen-Hsiung Chen et al., "Adaptive Coding of Monochrome and Color Images", IEEE Transactions on Communications, COM-25, 1285-1292, 1977
  • Bowonkoon Chitprasert et al., Human Visual Weighted Progressive Image Transmission, IEEE Transactions on Communications, COM-38, 7, 1040-1044, 1990
  • R. J. Clarke, Spectral Responses of the Discrete Cosine and Walsh-Hadamard Transforms, IEE Proc., 130, Part F, 309-313, 1983
  • K.K. De Valois et al., Color-Luminance Masking Interactions, Seeing Contour and Colour, J.J. Kulikowski, C.M. Dickinson and I.J. Murray Editors, Pergamon Press, Oxford, 1989
  • J. Raymond Edinger, Jr., "A Measure for Stairstepping in Digitized Text that Correlates with the Subjective Impression of Quality", IS&T's Tenth International Congress on Advances in Non-Impact Printing Technologies, 552-558, 1994
  • Yasushi Hoshino et al., Applicability of a Standardized Discrete Cosine Transform Coding Method to Character Images, J. Electronic Imaging, 1, 3, 322-327, 1992
  • Chansik Hwang et al., Human Visual System Weighted Progresseive Image Transmission Using Lapped Orthogonal Transform/Classified Vector Quantization, Optical Engineering, 32, 7, 1524-1530, 1993
  • International Organization for Standardization: Information Technology--Digital Compression and Coding of Continuous-Tone Still Images--Part 1: Requirements and Guidelines, ISO/IEC IS 10918-1, Oct. 20, 1992
  • International Telecommunication Union: Amendments to ITU-T Rec. T.30 for Enabling Continuous-Tone Colour and Gray-Scale Modes for Group 3, COM 8-43-E, Question 5/8, Mar. 1994
  • International Telecommunication Union: Amendments to ITU-T Rec. T-4 for Enabling Continuous-Time Colour and Gray-Scale Modes for Group 3, COM 8-44-E, Question 5/8, Mar. 1994
  • Gordon E. Legge, "Reading: Effects of Contrast and Spatial Frequency", Applied Vision, OSA Technical Digest Series, 16, 90-93, 1989
  • Gordon E. Legge et al., Contrast Masking in Human Vision, J. Opt. Soc. Am., 70,12,1458-1471, 1980
  • David L. McLaren et al., "Removal of Subjective Redundancy from DCT-Coded Images", IEE Proceedings-I, 138,5, 345-350, 1991
  • I. Miyagawa et al., "Color-Facsimile System for Mixed-Color Documents", SID 94 Digest, 887-890, 1994
  • Kathy T. Mullen, "The Contrast Sensitivity of Human Colour Vision to Red-Green and Blue-Yellow Chromatic Gratings", J. Physiol., 359, 381-400, 1985
  • Daivd H. Parish et al., "Object Spatial Frequencies, Retinal Spatial Frequencies, Noise, and the Efficiency of Letter Discrimination", Vision Res., 31, 7/8, 1399-1415, 1991
  • Denis G. Pelli et al., "Visual Factors in Letter Identification", IS&T's 47th Annual Conference/ICPS, p. 411, 1994
  • Heidi A. Peterson et al., An Improved Detection Model for DCT Coefficient Quantization, Human Vision, Visual Processing, and Digital Display IV, 1913, 191-201, SPIE, 1993
  • Ricardo L. de Queiroz et al., "Human Visual Sensitivity-Weighted Progressive Image Transmission Using the Lapped Orthogonal Transform", J. Electronic Imaging, 1, 3, 328-338, 1992
  • Ricardo L. de Queiroz et al., Modulated Lapped Orthogonal Transforms in Image Coding, Digital Video Compression on Personal Computers: Algorithms and Technologies, 2187, 80-91, SPIE, 1993
  • Robert J. Safranek et al., "A Perceptually Tuned Sub-Band Image Coder with Image Dependent Quantization and Post-Quantization Data Compression", Proc. ICASSP 89, 3, 1945-1948, 1989
  • Robert J. Safranek, JPEG Compliant Encoder Utilizing Perceptually Based Quantization, Human Vision, Visual Processing, and Digital Display V, 1913, 117-126, SPIE, 1993
  • Andrew B. Watson, DCT Quantization Matrices Visually Optimized for Individual Images, Human Vision, Visual Processing, and Digital Display IV, 1913, 202-216, SPIE, 1993
  • Andrew B. Watson et al., Discrete Cosine Transform (DCT) Basis Function Visibility: Effects of Viewing Distance and Contrast Masking, Human Vision, Visual Processing, and Digital Display V, 2179, 99-108, SPIE, 1994
PatentsPlus Images
Enhanced PDF formats
loading...
PatentsPlus: add to cart
PatentsPlus: add to cartSearch-enhanced full patent PDF image
$9.95more info
PatentsPlus: add to cart
PatentsPlus: add to cartIntelligent turbocharged patent PDFs with marked up images
$18.95more info
 
Sign InRegister
Username  
Password   
forgot password?