[ click here for full patent image ]

US 5,850,484: Text and image sharpening of JPEG compressed images in the frequency domain

Inventor(s):

Beretta; Giordano , Palo Alto, CA
Bhaskaran; Vasudev , Mountain View, CA
Konstantinides; Konstantinos , San Jose, CA

Applicant(s):

Hewlett-Packard Company, Palo Alto, CA

Issued/Filed Dates:

Dec. 15, 1998 / Sept. 30, 1997

Application Number:

US1997000940695

IPC Class:

G06K 009/36;

Class:

382/250; 382/251; 382/239; 358/432; 348/404

Field of Search:

382/298, 233, 251, 244, 232, 253, 250, 274, 252, 238, 236, 166, 2 80, 270, 358/427, 426, 432, 261.3, 448, 261.1, 433, 261.2, 430, 458, 348/404, 432,4 05, 433, 403, 391, 384, 422, 393, 430, 394, 409, 395, 390

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.

Primary/Assistant Examiners:

Couso; Jose L.; Bella; Matthew C.

Related Applications:

Application Number Appl Date Patent Issued Title
US1995000411369 1995-03-27      

U.S. References:

(No patents reference this one)

Patent Inventor(s) Issued Title
US4776030 Tzou 10 /1988 Block quantizer for transform coding
US4780761 Daly et al. 10 /1988 Digital image compression and transmission
US5063608 Siegel 11 /1991 Adaptive zonal coder
US5073820 Nakagawa et al. 12 /1991 Image data coding apparatus and coding method
US5333212 Ligtenberg 7 /1994 Image compression technique with regionally
US5410352 Watanabe 4 /1995 Image data compressing apparatus
US5465164 Sugiura 11 /1995 Image processing method and device for the
US5488570 Agarwal 1 /1996 Encoding and decoding video signals using

First Claim:

We claim:

  1. A machine for transmitting color images comprising:
  • means for rendering a color image into color source image data representing the color image;
  • a compression engine that compresses the source image data into compressed image data, the engine including:
    • a transforming means for converting the source image data into transformed image data,
    • means for storing a first multi-element quantization table (QE);
    • a quantizer means for converting the transformed image data into quantized image data in accordance with elements contained in the first quantization table,
    • means for storing a second multi-element quantization table (QD) related to but nonidentical to the first quantization table QE,
    • an entropy encoder means for transforming the quantized image data into the encoded image data using an entropy table;
  • means for encapsulating the encoded image data, the second quantization table, and the entropy table to form an encapsulated data file; and
  • means for transmitting the encapsulated data file.

CROSS REFERENCE TO RELATED APPLICATIONS

This is a continuation of application Ser. No. 08/411,369 filed on Mar. 27, 1995, now abandoned.

Foreign References:

Publication  Country Date IPC Class
EP19910444884A2 European Patent Office (EPO) 2 /1991  
EP19920513520A2 European Patent Office (EPO) 4 /1992 H04N007133
EP19930593159A2 European Patent Office (EPO) 9 /1993 G06F01564
JP1995000087491 Japan 3 /1995 H04N00730
JP1995000143343 Japan 6 /1995 H04N00141

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.

[ click here for full patent image ]