Transform domain enhanced resizing for a discrete-cosine-transform-based codec

被引:1
|
作者
Shin, GS [1 ]
Kang, MG [1 ]
机构
[1] Yonsei Univ, Dept Elect & Elect Engn, Seoul, South Korea
关键词
resizing; image compression; discrete cosine transform; transform domain processing; restoration;
D O I
10.1117/1.1615991
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
The ability to perform the same operations in the transform domain as in the spatial domain is important for efficient image transmission through a channel. We perform image resizing, which includes magnifying and reducing the size, in the discrete cosine transform (DCT) domain and the effects of the transform domain approach are analyzed in the corresponding spatial domain. Based on this analysis, the two resizing algorithms are proposed. The first one further compresses the images encoded by the compression standard by reducing the size before compression, and the other reduces the loss of information while maintaining the conventional compression rate. Because of its compatibility with standard codec, these algorithms can be easily embedded in JPEG and MPEG codecs, which are widely used for the purpose of image storage and transmission. Experimental results show a reduction of about half the bit size with similar image quality and about a 2- or 3-dB quality improvements in the similar compression rate. (C) 2003 Society of Photo-Optical Instrumentation Engineers.
引用
收藏
页码:3204 / 3214
页数:11
相关论文
共 50 条
  • [41] DISCRETE COSINE TRANSFORM FILTERING
    CHITPRASERT, B
    RAO, KR
    SIGNAL PROCESSING, 1990, 19 (03) : 233 - 245
  • [42] Hybrid Image Upsampling Method in the Discrete Cosine Transform Domain
    Park, Sang-Jun
    Jeong, Jechang
    IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 2010, 56 (04) : 2615 - 2622
  • [43] Scanline algorithms in the JPEG discrete cosine transform compressed domain
    Shen, B
    Sethi, IK
    JOURNAL OF ELECTRONIC IMAGING, 1996, 5 (02) : 182 - 190
  • [44] Discrete-cosine-transform-domain downsizing with windowing operation
    Shin, Il Hong
    Yoo, Jung Ju
    Hung, Jin Woo
    JOURNAL OF ELECTRONIC IMAGING, 2007, 16 (04)
  • [45] Image Resizing in an Arbitrary Transform Domain
    Kim, Won Ha
    Oh, Hyung Suk
    IEICE TRANSACTIONS ON COMMUNICATIONS, 2009, E92B (01) : 346 - 349
  • [46] Novel artifact removal algorithm in the discrete cosine transform domain
    Chang, Ying-Wen
    Chen, Yen-Yu
    JOURNAL OF ELECTRONIC IMAGING, 2008, 17 (01)
  • [47] A new auto-focus measure based on medium frequency discrete cosine transform filtering and discrete cosine transform
    Zhang, Xiangfen
    Wu, Hongfeng
    Ma, Yan
    APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS, 2016, 40 (02) : 430 - 437
  • [48] An algorithm for calculation of the discrete cosine transform by paired transform
    Grigoryan, AA
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2005, 53 (01) : 265 - 273
  • [49] All phase discrete cosine biorthogonal transform versus discrete cosine transform in digital watermarking
    Patel, Jay
    Tailor, Dev
    Panchal, Kevin
    Patel, Samir
    Gupta, Rajeev
    Shah, Manan
    MULTIMEDIA TOOLS AND APPLICATIONS, 2024, 83 (06) : 16121 - 16138
  • [50] All phase discrete cosine biorthogonal transform versus discrete cosine transform in digital watermarking
    Jay Patel
    Dev Tailor
    Kevin Panchal
    Samir Patel
    Rajeev Gupta
    Manan Shah
    Multimedia Tools and Applications, 2024, 83 : 16121 - 16138