Direct encoding for sampled color pictures with location consideration

Chulhee Lee; Jaehoon Lee; Guiwon Seo

doi:10.1007/978-3-642-41939-3_52

Direct encoding for sampled color pictures with location consideration

Chulhee Lee, Jaehoon Lee, Guiwon Seo

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Single image sensors with a color filter array (CFA) have been widely used in digital cameras, digital camcorders, and smart phones. These sensors generate sampled RGB color images and interpolation produces full resolution RGB color images. Typically, color format conversion is applied to convert the RGB images to Yuv images and these Yuv images are then encoded. However, the interpolation process followed by color format conversion increases the data size by 50~100%. In order to avoid this potential inefficiency, it was proposed to encode sampled RGB color images without interpolation. However, due to location mismatching, coding improvement has not been consistent. In this paper, we consider the location differences in intra-mode prediction and preliminary experiments show that consistent improvement was obtained.

Original language	English
Title of host publication	Advances in Visual Computing - 9th International Symposium, ISVC 2013, Proceedings
Pages	532-541
Number of pages	10
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-642-41939-3_52
Publication status	Published - 2013
Event	9th International Symposium on Advances in Visual Computing, ISVC 2013 - Rethymnon, Crete, Greece Duration: 2013 Jul 29 → 2013 Jul 31

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	8034 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	9th International Symposium on Advances in Visual Computing, ISVC 2013
Country	Greece
City	Rethymnon, Crete
Period	13/7/29 → 13/7/31

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-642-41939-3_52

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Lee, C., Lee, J., & Seo, G. (2013). Direct encoding for sampled color pictures with location consideration. In Advances in Visual Computing - 9th International Symposium, ISVC 2013, Proceedings (PART 2 ed., pp. 532-541). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8034 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-41939-3_52

Lee, Chulhee ; Lee, Jaehoon ; Seo, Guiwon. / Direct encoding for sampled color pictures with location consideration. Advances in Visual Computing - 9th International Symposium, ISVC 2013, Proceedings. PART 2. ed. 2013. pp. 532-541 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

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abstract = "Single image sensors with a color filter array (CFA) have been widely used in digital cameras, digital camcorders, and smart phones. These sensors generate sampled RGB color images and interpolation produces full resolution RGB color images. Typically, color format conversion is applied to convert the RGB images to Yuv images and these Yuv images are then encoded. However, the interpolation process followed by color format conversion increases the data size by 50~100%. In order to avoid this potential inefficiency, it was proposed to encode sampled RGB color images without interpolation. However, due to location mismatching, coding improvement has not been consistent. In this paper, we consider the location differences in intra-mode prediction and preliminary experiments show that consistent improvement was obtained.",

author = "Chulhee Lee and Jaehoon Lee and Guiwon Seo",

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Lee, C, Lee, J & Seo, G 2013, Direct encoding for sampled color pictures with location consideration. in Advances in Visual Computing - 9th International Symposium, ISVC 2013, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 8034 LNCS, pp. 532-541, 9th International Symposium on Advances in Visual Computing, ISVC 2013, Rethymnon, Crete, Greece, 13/7/29. https://doi.org/10.1007/978-3-642-41939-3_52

Direct encoding for sampled color pictures with location consideration. / Lee, Chulhee; Lee, Jaehoon; Seo, Guiwon.

Advances in Visual Computing - 9th International Symposium, ISVC 2013, Proceedings. PART 2. ed. 2013. p. 532-541 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8034 LNCS, No. PART 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N2 - Single image sensors with a color filter array (CFA) have been widely used in digital cameras, digital camcorders, and smart phones. These sensors generate sampled RGB color images and interpolation produces full resolution RGB color images. Typically, color format conversion is applied to convert the RGB images to Yuv images and these Yuv images are then encoded. However, the interpolation process followed by color format conversion increases the data size by 50~100%. In order to avoid this potential inefficiency, it was proposed to encode sampled RGB color images without interpolation. However, due to location mismatching, coding improvement has not been consistent. In this paper, we consider the location differences in intra-mode prediction and preliminary experiments show that consistent improvement was obtained.

AB - Single image sensors with a color filter array (CFA) have been widely used in digital cameras, digital camcorders, and smart phones. These sensors generate sampled RGB color images and interpolation produces full resolution RGB color images. Typically, color format conversion is applied to convert the RGB images to Yuv images and these Yuv images are then encoded. However, the interpolation process followed by color format conversion increases the data size by 50~100%. In order to avoid this potential inefficiency, it was proposed to encode sampled RGB color images without interpolation. However, due to location mismatching, coding improvement has not been consistent. In this paper, we consider the location differences in intra-mode prediction and preliminary experiments show that consistent improvement was obtained.

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Lee C, Lee J, Seo G. Direct encoding for sampled color pictures with location consideration. In Advances in Visual Computing - 9th International Symposium, ISVC 2013, Proceedings. PART 2 ed. 2013. p. 532-541. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). https://doi.org/10.1007/978-3-642-41939-3_52

Direct encoding for sampled color pictures with location consideration

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