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Near Lossless JPEG Compression Based on Masking Effect of Non-predictable Energy of Image Regions

Tutkimustuotosvertaisarvioitu

Yksityiskohdat

AlkuperäiskieliEnglanti
OtsikkoImage Analysis - 21st Scandinavian Conference, SCIA 2019, Proceedings
ToimittajatMichael Felsberg, Per-Erik Forssén, Jonas Unger, Ida-Maria Sintorn
KustantajaSpringer Verlag
Sivut173-183
Sivumäärä11
ISBN (painettu)9783030202040
DOI - pysyväislinkit
TilaJulkaistu - 2019
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaScandinavian Conference on Image Analysis - Norrköping, Ruotsi
Kesto: 11 kesäkuuta 201913 kesäkuuta 2019

Julkaisusarja

NimiLecture Notes in Computer Science
Vuosikerta11482
ISSN (painettu)0302-9743
ISSN (elektroninen)1611-3349

Conference

ConferenceScandinavian Conference on Image Analysis
MaaRuotsi
KaupunkiNorrköping
Ajanjakso11/06/1913/06/19

Tiivistelmä

This paper studies near lossless JPEG image compression. A method of estimation of image regions masking ability (maximal level of distortions invisible for human visual system) using non-predictable energy of image regions is described. A novel method of zeroing quantized DCT coefficients of JPEG images to increase their compression ratio without introducing visible distortions is proposed. A numerical analysis of effectiveness of the proposed near lossless compression method using 300 noise free test images of TAMPERE17 database is carried out. It is shown that the proposed method provides an increase of compression ratio of JPEG images without visible distortions at about 1.35 times in average. Additionally, the proposed method results in decreasing of variability of compression ratio values for different images. It is shown that the proposed method increases minimal compression ratio for highly textured JPEG images from 1.1…1.5 times to 2 times. Carried out experiments demonstrated once again that the traditional PSNR metric does not correspond to human perception for this task.

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