COMPRESSION METHODS FOR SATELLITE IMAGES USING WAVELET TRANSFORM AND PERFORMANCE EVALUATION

İbrahim Öz

doi:10.46460/ijiea.1440970

TR EN

DALGACIK DÖNÜŞÜMÜ İLE UYDU GÖRÜNTÜSÜ SIKIŞTIRMA METOTLARI VE PERFORMANS DEĞERLENDİRMESİ

Öz

Görüntü sıkıştırma üzerine birçok alanda araştırma yapılmakta ve hedef belirli bir görüntü kalitesini korurken iyi bir sıkıştırma oranı elde etmektir. Gözlem uyduları tarafından çekilen uydu görüntüleri, diğer görüntülerden farklı özelliklere sahiptir. Bu özelliklerin analizi ile bu alana özgü dönüşüm ve sıkıştırma teknikleri geliştirilebilir. Bu çalışmada uydu görüntüsü sıkıştırılmış, dalgacık dönüşümü ve literatürde çok bilinen altı sıkıştırma yönteminin performansı; piksel başına bit (PBB), sıkıştırma oranı (SO), tepe sinyal gürültü oranı (TSGO), hesaplama süresi (HS) ve ortalama kare hata (OKH) gibi ölçütler kullanarak kapsamlı bir şekilde değerlendirilmiştir. Coif3 dalgacık dönüşümü ve bu altı sıkıştırma metodu kullanılarak elde edilen sıkıştırılmış uydu görüntüsü sistematik olarak karşılaştırılırmış ve değerlendirilmiştir. Altı yöntemin ortalama değerleri SO için %96.37, TSGO için %47.10 db ve HS için7.92 saniye iken, WDR metodunda SO, %96.36, TSGO %48.34 db ve HS 6.58 saniye olarak elde edilmiştir. Bulgular, Coif3 dalgacık dönüşümü kullanan WDR sıkıştırma yönteminin, tüm performans parametreleri dikkate alındığında diğer yöntemleri geride bıraktığını göstermektedir. Bu çalışma sonuçlarına göre uydu operatörleri ve işletmecilerine gözlem uydusu görüntüsü sıkıştırma işleminde başarılı sonuçlarından dolayıdalgacık dönüşümü ve WDR metodunu öneriyoruz.

Anahtar Kelimeler

Dalgacık dönüşümü , görüntü sıkıştırma , uydu görüntüsü , uygun sıkıştırma metotları

COMPRESSION METHODS FOR SATELLITE IMAGES USING WAVELET TRANSFORM AND PERFORMANCE EVALUATION

Abstract

Research on image compression spans various fields, focusing on achieving efficient compression while preserving a specific image quality. Satellite images captured by observation satellites possess unique characteristics distinct from other images. Analyzing these specific qualities is decisive, leading to the proposal of tailored compression methods and transforms suitable for satellite image characteristics. This study comprehensively assesses the performance of six well-known compression methods in the literature, utilizing wavelet transform and metrics such as bits per pixel (BPP), compression ratio (CR), Peak Signal-to-Noise Ratio (PSNR), calculation time (CT), and Mean Squared Error (MSE). The compressed satellite images, generated through six methods and the Coif3 wavelet, are systematically compared and evaluated using performance metrics. The average values obtained for all six methods are 96.37%, 47.10 dB, and 7.92 seconds for CR, PSNR, and CT receptively, while WDR exhibits CR at 96.36%, PSNR at 48.84 dB, and CT at 6.58 seconds. The findings indicate that the Wavelet Difference Reduction (WDR) compression method utilizing the Coif3 wavelet outperforms others when considering all parameters together. We suggest that operators and manufacturers choose wavelet transform and WDR compression methods for effective compression of observation satellite images to achieve optimal results.

Keywords

image compression , satellite image , suitable compression methods , wavelet transform

Kaynakça

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Ayrıntılar

Birincil Dil

İngilizce

Konular

Elektrik Mühendisliği (Diğer)

Bölüm

Araştırma Makalesi

Yazarlar

İbrahim Öz ^*
0000-0003-4593-917X
Türkiye

Erken Görünüm Tarihi

27 Aralık 2024

Yayımlanma Tarihi

31 Aralık 2024

Gönderilme Tarihi

21 Şubat 2024

Kabul Tarihi

16 Aralık 2024

Yayımlandığı Sayı

Yıl 2024 Cilt: 8 Sayı: 2

DOI

https://doi.org/10.46460/ijiea.1440970

IZ

https://izlik.org/JA77MP69DP

APA

Öz, İ. (2024). COMPRESSION METHODS FOR SATELLITE IMAGES USING WAVELET TRANSFORM AND PERFORMANCE EVALUATION. International Journal of Innovative Engineering Applications, 8(2), 72-81. https://doi.org/10.46460/ijiea.1440970

AMA

1.Öz İ. COMPRESSION METHODS FOR SATELLITE IMAGES USING WAVELET TRANSFORM AND PERFORMANCE EVALUATION. ijiea, IJIEA. 2024;8(2):72-81. doi:10.46460/ijiea.1440970

Chicago

Öz, İbrahim. 2024. “COMPRESSION METHODS FOR SATELLITE IMAGES USING WAVELET TRANSFORM AND PERFORMANCE EVALUATION”. International Journal of Innovative Engineering Applications 8 (2): 72-81. https://doi.org/10.46460/ijiea.1440970.

EndNote

Öz İ (01 Aralık 2024) COMPRESSION METHODS FOR SATELLITE IMAGES USING WAVELET TRANSFORM AND PERFORMANCE EVALUATION. International Journal of Innovative Engineering Applications 8 2 72–81.

IEEE

[1]İ. Öz, “COMPRESSION METHODS FOR SATELLITE IMAGES USING WAVELET TRANSFORM AND PERFORMANCE EVALUATION”, ijiea, IJIEA, c. 8, sy 2, ss. 72–81, Ara. 2024, doi: 10.46460/ijiea.1440970.

ISNAD

Öz, İbrahim. “COMPRESSION METHODS FOR SATELLITE IMAGES USING WAVELET TRANSFORM AND PERFORMANCE EVALUATION”. International Journal of Innovative Engineering Applications 8/2 (01 Aralık 2024): 72-81. https://doi.org/10.46460/ijiea.1440970.

JAMA

1.Öz İ. COMPRESSION METHODS FOR SATELLITE IMAGES USING WAVELET TRANSFORM AND PERFORMANCE EVALUATION. ijiea, IJIEA. 2024;8:72–81.

MLA

Öz, İbrahim. “COMPRESSION METHODS FOR SATELLITE IMAGES USING WAVELET TRANSFORM AND PERFORMANCE EVALUATION”. International Journal of Innovative Engineering Applications, c. 8, sy 2, Aralık 2024, ss. 72-81, doi:10.46460/ijiea.1440970.

Vancouver

1.İbrahim Öz. COMPRESSION METHODS FOR SATELLITE IMAGES USING WAVELET TRANSFORM AND PERFORMANCE EVALUATION. ijiea, IJIEA. 01 Aralık 2024;8(2):72-81. doi:10.46460/ijiea.1440970

Cited By

Quantitative Assessment of Image Reconstruction Algorithms in Electrical Impedance Tomography

Kocaeli Journal of Science and Engineering

https://doi.org/10.34088/kojose.1556617

DALGACIK DÖNÜŞÜMÜ İLE UYDU GÖRÜNTÜSÜ SIKIŞTIRMA METOTLARI VE PERFORMANS DEĞERLENDİRMESİ

Öz

Anahtar Kelimeler

COMPRESSION METHODS FOR SATELLITE IMAGES USING WAVELET TRANSFORM AND PERFORMANCE EVALUATION

Abstract

Keywords

Kaynakça

Ayrıntılar

Birincil Dil

Konular

Bölüm

Yazarlar

Erken Görünüm Tarihi

Yayımlanma Tarihi

Gönderilme Tarihi

Kabul Tarihi

Yayımlandığı Sayı

DOI

IZ

Kaynak Göster

Cited By

Quantitative Assessment of Image Reconstruction Algorithms in Electrical Impedance Tomography