Bit allocation strategy based on Psychovisual threshold in image compression.
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| Title: | Bit allocation strategy based on Psychovisual threshold in image compression. |
|---|---|
| Authors: | Ernawan, Ferda1 ferda1902@gmail.com, Kabir, Muhammad Nomani1, Zain, Jasni Mohamad1 |
| Source: | Multimedia Tools & Applications. Jun2018, Vol. 77 Issue 11, p13923-13946. 24p. |
| Subjects: | Bit allocation analysis, Image compression, Threshold (Perception), Information storage & retrieval systems, Image files |
| Abstract: | Image compression leads to minimize the storage-requirement of an image by reducing the size of the image. This paper presents a bit allocation strategy based on psychovisual threshold in image compression considering a similar idea of audio coding. In the audio coding, a dynamic bit allocation to each signal is related to the concept of variable block coding and bit allocation is performed on either a short block or long block of sample signals. Similarity, in our technique, more bits are assigned to a local block with visually-significant low frequency order, and fewer, with visually-insignificant high frequency order. This paper presents a bit allocation strategy based on psychovisual threshold in image compression. A psychovisual threshold is developed by minimizing the visual impact on the image quality degradation in image frequency coding. This paper investigates the error generated by the discrete cosine transform and sets the maximum acceptable error as a psychovisual threshold. The average reconstruction error per pixel on frequency order is utilized to prescribe a set of bit allocations which provide a significant improvement on the quality of image reconstruction at relatively low bit rates. The experimental results show that our dynamic bit-allocation technique in image compression manages to overcome artifact images in the image output. The proposed bit allocation strategy improves the quality of image reconstruction by about 20% compared to JPEG compression. This bit allocation strategy is designed to replace the traditional role of the quantization process in image compression. [ABSTRACT FROM AUTHOR] |
| Copyright of Multimedia Tools & Applications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 129977428 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Bit allocation strategy based on Psychovisual threshold in image compression. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ernawan%2C+Ferda%22">Ernawan, Ferda</searchLink><relatesTo>1</relatesTo><i> ferda1902@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Kabir%2C+Muhammad+Nomani%22">Kabir, Muhammad Nomani</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Zain%2C+Jasni+Mohamad%22">Zain, Jasni Mohamad</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Multimedia+Tools+%26+Applications%22">Multimedia Tools & Applications</searchLink>. Jun2018, Vol. 77 Issue 11, p13923-13946. 24p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Bit+allocation+analysis%22">Bit allocation analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Image+compression%22">Image compression</searchLink><br /><searchLink fieldCode="DE" term="%22Threshold+%28Perception%29%22">Threshold (Perception)</searchLink><br /><searchLink fieldCode="DE" term="%22Information+storage+%26+retrieval+systems%22">Information storage & retrieval systems</searchLink><br /><searchLink fieldCode="DE" term="%22Image+files%22">Image files</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Image compression leads to minimize the storage-requirement of an image by reducing the size of the image. This paper presents a bit allocation strategy based on psychovisual threshold in image compression considering a similar idea of audio coding. In the audio coding, a dynamic bit allocation to each signal is related to the concept of variable block coding and bit allocation is performed on either a short block or long block of sample signals. Similarity, in our technique, more bits are assigned to a local block with visually-significant low frequency order, and fewer, with visually-insignificant high frequency order. This paper presents a bit allocation strategy based on psychovisual threshold in image compression. A psychovisual threshold is developed by minimizing the visual impact on the image quality degradation in image frequency coding. This paper investigates the error generated by the discrete cosine transform and sets the maximum acceptable error as a psychovisual threshold. The average reconstruction error per pixel on frequency order is utilized to prescribe a set of bit allocations which provide a significant improvement on the quality of image reconstruction at relatively low bit rates. The experimental results show that our dynamic bit-allocation technique in image compression manages to overcome artifact images in the image output. The proposed bit allocation strategy improves the quality of image reconstruction by about 20% compared to JPEG compression. This bit allocation strategy is designed to replace the traditional role of the quantization process in image compression. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Multimedia Tools & Applications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11042-017-4999-9 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 24 StartPage: 13923 Subjects: – SubjectFull: Bit allocation analysis Type: general – SubjectFull: Image compression Type: general – SubjectFull: Threshold (Perception) Type: general – SubjectFull: Information storage & retrieval systems Type: general – SubjectFull: Image files Type: general Titles: – TitleFull: Bit allocation strategy based on Psychovisual threshold in image compression. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ernawan, Ferda – PersonEntity: Name: NameFull: Kabir, Muhammad Nomani – PersonEntity: Name: NameFull: Zain, Jasni Mohamad IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2018 Type: published Y: 2018 Identifiers: – Type: issn-print Value: 13807501 Numbering: – Type: volume Value: 77 – Type: issue Value: 11 Titles: – TitleFull: Multimedia Tools & Applications Type: main |
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