Images captured in challenging environments such as haze, underwater scenes, or artificial lighting often suffer from color degradation. In many cases, one color channel becomes weak, leading to loss of important visual information. To address this problem, this paper proposes a preprocessing method called Hybrid Adaptive Color Recovery (HACR). The method analyzes the relationship between color channels and adaptively compensates the weakened channel to restore color balance. By acting as a preprocessing step, HACR helps improve the performance of image restoration techniques. Experimental results show that the proposed method produces more consistent colors and better visual quality compared to conventional preprocessing approaches.
Image Restoration, Color Channel Recovery, Preprocessing, Degraded Images, Adaptive Color Compensation.
IRE Journals:
I. Naga Padmaja, Lakshman Kumar, Prasad, Chaitanya Abhiram, Madhusudhan "Hybrid Adaptive Color Recovery (HACR): A Fundamental Pre-Processing Step for Image Restoration" Iconic Research And Engineering Journals Volume 9 Issue 9 2026 Page 1056-1062 https://doi.org/10.64388/IREV9I9-1715106
IEEE:
I. Naga Padmaja, Lakshman Kumar, Prasad, Chaitanya Abhiram, Madhusudhan
"Hybrid Adaptive Color Recovery (HACR): A Fundamental Pre-Processing Step for Image Restoration" Iconic Research And Engineering Journals, 9(9) https://doi.org/10.64388/IREV9I9-1715106